OrientDB Experiences Record Growth in 2015. Momentum Paves Way For Transformative 2016

OrientDB Takes Off in 2015 and Announces Remarkable Growth

 

Key highlights include senior management hires, community awards, coverage by leading analysts, record subscription growth and breakthrough product innovation

London, UK (February 2, 2016) – OrientDB Ltd, the company behind the first-ever distributed multi-model database, announces a year of record growth that paves the way for a transformative 2016.

Leading analysts continue to highlight the surge of multi-model databases and the tremendous opportunity for customers to accelerate the pace of innovation by using a few operational databases rather than many different technologies. Natively supporting graphs, documents and the familiar SQL dialect, OrientDB is a general-purpose solution to naturally process today’s data which is generated at unbelievable speed. That opens the doors to a new class of applications, drastically reduces the costs and removes the need to keep multiple DBMSes aligned.

“With the release of OrientDB 2.1 and breakthrough innovation coming in OrientDB 2.2, we are making the industry’s first distributed document-graph database even better.” said Luca Garulli, CEO and Founder. “When I started to work on OrientDB back in 2010, I could only imagine the pace of growth we’re seeing today thanks to our customers, users and advocates.”

Product and Ecosystem Milestones

 

“The multi-model market started to blossom in 2015 as enterprises shift towards a simplified architecture that marries connected, unstructured and structured data processed at a speed never possible before,” said Luca Olivari, President. “OrientDB pioneered the multi-model approach and is best positioned to capitalize on this massive change.”

Company Momentum

About OrientDB

With downloads exceeding 70,000 per month, more than 100 community contributors and 1000’s of production users, OrientDB is experiencing tremendous growth in both community and Enterprise adoption. The native multi-model database combines the connectedness of graphs, the agility of documents and the familiar SQL dialect. Fortune 500 companies, government entities and startups all use the technology to build large-scale innovative applications. Some of their clients include Ericsson, the United Nations, Pitney Bowes, Sky, CenturyLink and Sonatype. OrientDB recently won the prestigious 2015 Infoworld Bossie award.

Resources:

 

London, December 8, 2015

The OrientDB Team has just released OrientDB v2.1.7, resolving 18 issues from v2.1.6. This is the last stable release. Please upgrade your production environments to v2.1.7. For more information, take a look at the Change Log.

This release introduced also the new configurable Graph Consistency to speedup change operations against graphs. For more information look at Graph Consistency.

Download OrientDB v2.1.7 now: https://orientdb.com/download.

A big thank you goes out to the OrientDB team and all the contributors who worked hard on this release, providing pull requests, tests, issues and comments.

Best regards,

Luca Garulli
CEO at Orient Technologies LTD
the Company behind OrientDB

CAMBRIDGE, UK and London, UK – 11 November 2015, Cambridge Intelligence, creators of the KeyLines network visualization toolkit and OrientDB, Ltd the sponsor of OrientDB, the pioneering multi-model DBMS, today announced a new partnership.

The partnership between the firms will pave the way for new integrated customer solutions built with both technologies. Using the KeyLines visualization technology, OrientDB users will be able to easily integrate intuitive and powerful visual data exploration and analysis capability into their existing big data solutions.

“The combination of KeyLines and OrientDB is an exciting new opportunity,” said Joe Parry, CEO of Cambridge Intelligence.

“Cambridge Intelligence and OrientDB are a great fit for one another, offering complimentary expertise and technologies that are in real demand.  We look forward to working closely together to help customers build the solutions they need to make sense of their complex connected data.”

OrientDB has enjoyed rapid adoption in the NoSQL market, with organizations keen to benefit from its ‘hybrid’ approach to data storage, combining the flexibility of a document store with the connectedness of a graph database.

“Storing and visualizing complex relationships is fundamental to easily explore data and uncover hidden patterns,” said Luca Olivari, President of OrientDB. “Keylines and OrientDB can provide unique insights to customers on a journey to better leverage connected data and gain competitive advantage.”

The combination of KeyLines and OrientDB will generate significant operational benefits and data insight in a number of different use cases, including cyber security, anti-fraud and data discovery.

To learn more about this partnership watch the webinar Maximizing OrientDB Data Insight with Visualization.

About Cambridge Intelligence

Cambridge Intelligence Limited is a leading provider of visualization and analysis solutions, designed to help organizations understand their complex connected data. By combining award-winning software, unrivalled know-how and expert developer services, the company aims to make network visualization accessible and meaningful across many industries.

About OrientDB Ltd

OrientDB Ltd is a private company that officially leads the development of the OrientDB Open Source Project. OrientDB is a 2nd Generation Distributed Graph Database with the flexibility of Documents in one product with an Open Source commercial friendly license. First generation Graph Databases lack the features that Big Data demands: multi-master replication, sharding and more flexibility for modern complex use cases.

Jim Stock Joins OrientDB to Lead and Build the Worldwide Sales Organization

London, UK (Nov 2, 2015) – Orient Technologies, the company behind OrientDB (www.orientdb.com), the graph-document database that pioneered the multi-model concept, announced today that Jim Stock, an experienced executive in the NoSQL database market, will join the company as Vice President of Worldwide Sales.

Jim is an accomplished enterprise sales leader who brings more than 20 years of experience to Orient Technologies. Most recently, he was Senior Director at MongoDB where he led the EMEA Field Sales team during a time of unprecedented growth. Prior to that, Jim served as a Director at Marklogic where he held a variety of management roles, including running the team responsible for the largest vertical market, Media. Prior to MarkLogic, he spent 9 years in various management positions at Bertelsmann. Throughout his career, Jim has built high performance sales teams that consistently deliver strong results.

“Hiring a sales leader of Jim’s experience is an endorsement of the immense opportunity for the leading multi-model database to transform one of the largest industries,” said Luca Olivari, President, OrientDB. “Jim’s experience with managing enterprise clients and deep knowledge of the database market will be essential during this accelerated stage of our growth.”

“OrientDB, with its combination of graph and document models, represents the next stage in the evolution of the NoSQL database.” said Jim. “I was really impressed with the mission criticality of the applications that organizations are building with OrientDB, whether it’s a tier 1 e-Commerce company that built a Recommendation Engine that combines Product Catalog data to drive increased online revenue, or a leading global bank putting OrientDB at the heart of their technology refresh applications.”

With downloads exceeding 70,000 per month, more than 100 community contributors and 1000’s of production users, Orient Technologies is experiencing tremendous growth in both community and Enterprise adoption. The native multi-model database combines the connectedness of graphs, the agility of documents and the familiar SQL dialect. Fortune 500 companies, government entities and startups all use the technology to build large-scale innovative applications. Some of their clients include the United Nations, Pitney Bowes, Sky, CenturyLink and Sonatype. OrientDB recently won the prestigious 2015 Infoworld Bossie Award.

Orient Technologies is the main sponsor and the commercial supporter of OrientDB.

Resources:

Placement based on completeness of vision and ability to execute

London, UK (Oct 16, 2015) — Orient Technologies, the company behind OrientDB (www.orientdb.com), today announced that it has been included by Gartner in their 2015 Magic Quadrant for Operational Databases*.

Gartner defines the operational DBMS market by relational and non-relational database management products that are suitable for a broad range of enterprise-level, transactional applications. The report also highlights as a strategic planning assumption that by 2017, all leading operational DBMSs will offer multiple data models, relational and NoSQL, in a single DBMS platform.  This is a vision pioneered by OrientDB since 2010.

“The Magic Quadrant serves as a trusted resource for companies as they look for operational databases and 31 vendors have been evaluated. OrientDB pioneered the multi-model approach in 2010 and we believe being recognized by the world’s leading industry analyst validates our vision,” said Luca Olivari, President of Orient Technologies.

Orient Technologies is the only NoSQL company that has been funded exclusively by its own customers**. Research and Development activities are sponsored by clients and supported by an active user community. With relentless focus on building the operational database for tomorrow’s enterprises, OrientDB continues to grow and deliver on the multimodel vision that’s changing the database landscape forever.

About the Magic Quadrant

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About OrientDB

With downloads exceeding 70,000 per month, more than 100 community contributors and 1000’s of production users, Orient Technologies is experiencing tremendous growth in both Community and Enterprise adoption. The native multi-model database combines the connectedness of graphs, the agility of documents and the familiar SQL dialect. Fortune 500 companies, government entities and startups all use the technology to build large-scale innovative applications. Some of their clients include the United Nations, Pitney Bowes, Sky, CenturyLink and Sonatype. OrientDB recently won the prestigious 2015 Infoworld Bossie Award.

Orient Technologies is the main sponsor and the commercial supporter of OrientDB.

Resources:

• Getting Started with OrientDB Udemy Training
• Comparison with Neo4j and MongoDB
• OrientDB and OrientDB Enterprise Download
• Follow OrientDB on Twitter

*Gartner, Inc., Magic Quadrant for Operational Database Management Systems by Donald Feinberg, Merv Adrian, Nick Heudecker, Adam M. Ronthal and Terilyn Palanca, October 12, 2015.
** Company funding data taken from Crunchbase as of October 12, 2015

OrientDB Wins InfoWorld Bossie Award

InfoWorld recognizes OrientDB as one of the best open source infrastructure and management software platforms

London, UK (Sept 21, 2015) – Orient Technologies, the company behind OrientDB (www.orientdb.com), the graph-document database that pioneered the multi-model concept, announces that OrientDB is a winner of the prestigious InfoWorld 2015 Bossie Award.

InfoWorld editors and contributors pick the top open source software for data centers, clouds, developers, data crunchers, and IT professionals. They recognized OrientDB as having one of the best open source application development tools.

Steve Nunez explains: “OrientDB is an interesting hybrid in the NoSQL world, combining features from a document database, where individual documents can have multiple fields without necessarily defining a schema, and a graph database, which consists of a set of nodes and edges. At a basic level, OrientDB considers the document as a vertex, and relationships between fields as graph edges. Because the relationships between elements are part of the record, no costly joins are required when querying data.”

“It’s great to see OrientDB receiving the InfoWorld Bossie Award, as we’re more committed than ever to the open source and database communities.” said Luca Olivari, President of Orient Technologies. “We are seeing tremendous adoption and customer growth and, together with our ecosystem, are fulfilling our vision to become the operational data store of the modern enterprise.”

About OrientDB

With downloads exceeding 60,000/month, more than 100 contributors and 1000’s of production users, OrientDB is the leading next generation native multi-model enterprise database combining the connectedness of graphs, the agility of documents and the familiar SQL dialect. Fortune 500 companies, government entities and startups use the technology to build large-scale innovative applications. Some of their clients include Ericsson, United Nations, Pitney Bowes, Sky, CenturyLink and Sonatype.

Orient Technologies is the main sponsor and the commercial supporter of OrientDB.

Resources:

 

 

Vote on Hacker News

A recent influx of vendor-sponsored NoSQL database benchmarks have been circulating and creating some buzz. Many have asked us to enter the discussion, so here’s our point of view.

On recent benchmarks first.

A few weeks ago, a vendor created a brand new benchmark, comparing their product against OrientDB and two other competitors. We weren’t involved in the initial tests and were really surprised by the results, so we decided to take on the challenge.

We worked with the vendor by providing a pull request and instructions for improving performance, but they only applied a few of our suggestions and published partial results. Of course, it’s understandable that a vendor would never want to publish an update to a benchmark where a competing product’s performance improved by orders of magnitude, therefore providing free marketing for their competitor. We won’t mention products by name here, as the goal is not to show that we are faster, but to highlight how things can dramatically change when the vendors are consulted.

Using the same benchmarks, the same dataset and the same hardware, we re-ran the tests and optimized OrientDB. First, we fixed how the database was created (lightweight edges should be used when there are no edge attributes) and used a new algorithm for traversal that was implemented in the latest version of OrientDB. We’ve also used the new official Node.js driver. Finally, we cleaned up the dirty database the vendor used for the tests which included duplicate (some duplicated ten times) edges.

Screen Shot 2015-07-09 at 6.26.39 PM

Picture 1 — Duplicate Records

Always open to challenges, we’ve also made more optimizations here and there (all available in the latest versions) and are pretty happy with the results. Here’s a table and a chart summarizing how performance numbers evolved over time.

Screen Shot 2015-07-09 at 7.04.31 PM

Table 1 — Performance Numbers (lower is better)
Screen Shot 2015-07-09 at 6.57.32 PM
Table 2 — Relative Performance (lower is better)

*Note: We could not reproduce the performance numbers shown by the competitor in the initial tests. Unfortunately, only percentages were provided, so we trusted their numbers and used them to derive the other values according to the performance difference.

Screen Shot 2015-07-09 at 6.23.01 PM

Picture 2 — Relative Performance (lower is better)

You may wonder why we’re still slower on the “single reads” and “neighbors2” tests. Regarding the “single reads” test, we measured the OrientDB Server and it was extremely fast. However, 70% of the processing time was spent on unmarshalling the response of the OrientDB server by the Node.js driver. We found the bottleneck and the upcoming fix is already on our roadmap. Regarding the “neighbors2” test, well this use case has little value in the real world because when you do a traversal of neighbors, you’re interested in retrieving actual information about the neighbors instead of just their ID or key.

Furthermore, the original test was on a server with 60GB of RAM. Reproducing the same test on a common server with 16GB of RAM, the results are completely different. DBMSs that require that the database fit in RAM (or just the indexes) show their limitations when the working set exceeds the available RAM. OrientDB, instead, is highly optimized, effectively using the disk subsystem and reducing the costs.

If you’d like to run the benchmark on your configuration, here is the link to the Github repository. This is the OrientDB database that you can download for the benchmark (1.2Gb). In the project, you can also find the script to create the database from scratch by using the OrientDB ETL. Use either OrientDB 2.1 RC5 or the latest Alpha version here.

On benchmarks in general.

The NoSQL market is fragmented and there is no standardized, meaningful benchmark to test products against each other. Some database technologies are simple like key value or memory stores, so they win many speed benchmarks. Others are more feature complete, so while they may have slower results on very simple tests, they provide developers the freedom to focus on what matters most (i.e. building their apps). Furthermore, benchmarks are usually done by or sponsored by a vendor, so while they know their own product inside and out, they have little knowledge of the competitors’ products. Finally, benchmarks many times put production quality code against early-stage, super-optimized versions that are compiled to be extremely fast (but not ready to be used in a production scenario yet).

The end result is confusion, and quite often, numbers that are not applicable to the real world. Vendor X creates a benchmark comparing their product and it always wins on all fronts. Vendor Y, who feels the need to respond, optimizes the product for the same benchmark and wins on all fronts (as we’ve done in most of the tests above). Vendor Z likewise. Customers try the technology for their application and get completely different numbers. You get the picture.

Conclusions.

What we found is that most benchmarks, especially those done by individuals affiliated with a specific vendor, tend to be highly biased and show a distorted view of reality. On the other hand, we firmly agree that benchmarks help vendors improve their products and we had a lot of fun learning how we could make OrientDB even faster.

We encourage customers to build their own benchmarks based on their needs and to reach out to us anytime. OrientDB was built on the idea that you can have all you need in one native multi-model DBMS: availability, scalability, relationships, data model complexity, agility and ease of use without sacrificing performance or reliability. We expect OrientDB to be faster than the competition right out of the box. However, there is always room for improvement due to the limitless use cases that OrientDB can handle.

Today we are excited to launch a Performance Jumpstart Package. This is a discounted remote consulting engagement where we work with customers and partners to prove OrientDB’s performance, scalability, availability and rich feature set.

Bring us your benchmarks. In the use case above, optimizing performance exponentially only took us a couple of days. We are so convinced by OrientDB’s capabilities and the great results that we can achieve together that we will offer a money-back guarantee if we can’t improve performance in your use case.

Customer base and company credentials are another important factor before adopting a new product. With 60,000 downloads monthly, more than 100 contributors, 100’s of paying customers and 1000’s of production users, OrientDB is a mature product, backed by a profitable company with a bright future and great momentum.

Contact us to learn more about the OrientDB Performance Challenge.

Want to try all the latest and greatest enhancements in OrientDB? Download the product or contribute on Github.

-UPDATE-

Since OrientDB is not an in-memory DBMS, in order to use the large amount of available RAM on the test machine (60GB), we tried the new Command Cache with OrientDB 2.2-Alpha. To enable it, start the OrientDB Server with the following parameters “-Dcommand.cache.enabled=true -Dcommand.cache.minExecutionTime=3”

 

London, July 3, 2015

The OrientDB Team just released OrientDB 2.1-RC5 resolving 43 issues from 2.1-RC4. Please find the complete list of issues resolved.

We suggest using OrientDB 2.1-RC5 only in development environments. Users in production should wait for the 2.1 GA before upgrading.

Download it now: https://orientdb.com/download.

If no critical issues are raised in the upcoming days, OrientDB 2.1 will be made Generally Available.

A big thank you goes out to all of the contributors from the OrientDB User Community who worked hard on this release, providing pull requests, tests, issues and comments.

Best regards,

Luca Garulli
CEO at Orient Technologies LTD
the Company behind OrientDB

 

London, June 17th 2015

After less then one month from the last RC3, the OrientDB Team released OrientDB 2.1-rc4. 45 total issues are resolved by 2.1-rc4, this is the complete list of issues.

We suggest to use OrientDB 2.1-rc4 only if you are in development. Instead, users in production should wait 2.1 GA for the upgrade. If no critical issues will be raised in the next days, OrientDB 2.1 GA is scheduled for June 23, 2015.

Download it now: https://orientdb.com/download.

Thanks to all the contributors that worked hard on this release, providing pull requests, tests, issues and comments.

Best Regards,

Luca Garulli
CEO at Orient Technologies LTD
the Company behind OrientDB
http://about.me/luca.garulli

 

London, June 16th 2015

We know the Node.js community around OrientDB is big and is growing fast every day. Unfortunately the original author of “oriento” is not more active on that. All the most recent contributions have been done by external users and from Orient Technologies team.

For this reason we decided to adopt the Node.js driver under the Orient Technologies umbrella. It’s name is OrientJS:

https://github.com/orientechnologies/orientjs

This driver has been forked from Codemix’s “oriento” driver and already contains the recent contribution by OrientDB Team about Live Query and some fix.

Starting from July 1st, OrientJS driver will be supported also by Orient Technologies Support Services, so any issue on the driver will be covered by Orient Technologies team under SLAs.

What will change from Oriento driver?

The API is the same, just the main file is changed from “oriento” to “orientdb” and the main class from “Oriento” to “OrientDB”. This is the code with Oriento:

var Oriento = require('oriento');
var server = Oriento({
  host: 'localhost',
  port: 2424,
  username: 'root',
  password: 'yourpassword'
});

And this is now with OrientJS:

var OrientDB = require('orientjs');
var server = OrientDB({
  host: 'localhost',
  port: 2424,
  username: 'root',
  password: 'yourpassword'
});

The remaining API will be unchanged.

What the OrientDB Team will do in the next releases?

OrientDB Team will support this project (fix the issues, merge pull requests, etc) starting from today.

The first contribution will be on speeding up the marshalling and unmarshalling activities. By several tests, we found such big bottleneck on performance when Oriento unmarshalled the result from OrientDB server.

Execution of 100k queries on OrientDB took about 60 seconds, but only 18 seconds (30% of the time) was spent by OrientDB Server + TCP/IP transport. All the rest was taken by Oriento driver to unmarshall the query result, that is merely 70% of the total time.

In the next release the speed of this driver will be comparable to the native Java one.

Best Regards,
Luca Garulli
CEO at Orient Technologies LTD
the Company behind OrientDB

 

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