![]() Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Fully managed data warehouse, batch and stream processing and data exploration, Hadoop/Spark and reliable messaging Google's private fiber network offers state-of-the art software-defined networking products. High performance, resilient and scalable object storage and databases for your apps. A fully managed platform for app development that can be used to create virtual machines with proven price/performance benefits. You can go from prototype to production without worrying about reliability, performance, or capacity. Big data can be used to quickly find answers and create better products. ![]() Secure, global, high performance, cost-effective, and continuously improving. Open source commitment and industry-leading price-performance. All enterprises can access the secure and fully-featured Google Cloud Platform. Google's core infrastructure, data analysis and machine learning are available to you. "For the upcoming 3.7 release, we are already working on improving the scalability even further for larger data sizes and larger clusters," Schad said.Build What's Next. Looking forward to the next release of ArangoDB, scalability improvements will be at the top of the agenda, he said. The end results, according to Schad, are improvements of 30% to 40% for queries involving data across multiple nodes. Schad said that if a query requires data from multiple nodes, with ArangoDB 3.6 operations can be parallelized to be performed concurrently. The new database release also enables parallel execution of queries to further improve performance. "With the improved subquery optimization, ArangoDB optimizes and processes such queries more efficiently by merging them into one which especially improves performance for larger data sizes up to a factor of 28x," he said. Schad explained that when writing queries, it is a typical pattern to build a complex based on multiple simple queries. The ArangoDB 3.6 multi-model database also provides users with faster query execution thanks to a new feature for subquery optimization. ![]() "So for read-heavy applications like ours, OneShard should not only offer performance benefits, but also let us make better use of our standby nodes by having them respond to read traffic," he said. "One main benefit of OneShard seems to be the synchronous replication of the data to the backup or failover databases versus the asynchronous replication used by the active failover configuration," Baugher said.īaugher added that OneShard also allows database reads to happen from any database node. This contrasts with active failover, in that reads are limited to the currently active node only. He noted that Kaseware now uses ArangoDB's "resilient single" database setup, which in his view is similar, but less robust. ![]() "It will still replicate the data synchronously to achieve fault tolerance."īaugher said he'll be taking a close look at OneShard. "ArangoDB will basically colocate all data on a single node and hence offer local performance and transactions as queries can be evaluated on a single node," Schad said. Scott BaugherCo-founder, president and CTO of Kaseware I had fewer technologies in my stack, which meant fewer things to keep updated and patched. I specifically sought out a multi-model database because for me, that simplified things. Kaseware uses ArangoDB as a document, key/value, and graph database. Baugher noted that the one other database the company uses is ElasticSearch, for its full-text search capabilities. Kaseware uses ElasticSearch because until fairly recently, ArangoDB did not offer full-text search capabilities, he said. "I had fewer technologies in my stack, which meant fewer things to keep updated and patched." "I specifically sought out a multi-model database because for me, that simplified things," said Scott Baugher, the co-founder, president and CTO of Kaseware, and a former FBI special agent. Also, the new OneShard feature from the San Mateo, Calif.-based vendor is a way for organizations to create robust data resilience as well as use synchronization capabilities.įor Kaseware, based in Denver, ArangoDB has been a core element since the company was founded in 2016, enabling the law enforcement software vendor's case management system. Among the updates are improved performance capabilities for queries and overall database operations. 8, brings a series of new updates to the multi-model database platform. ArangoDB 3.6, released into general availability Jan.
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