Multi-model database

SingleStore Outshines Major Database Competitors in TCO Study

Retrieved on: 
Wednesday, June 15, 2022
Software, Technology, Data Management, Cloud, Digital, San Francisco Bay Area, Industry, HPE, SAS, OLTP, Software as a service, MySQL, Database, Multi-model database, PostgreSQL, Gigaom, TCO, Uber, SingleStore, OLAP, Hulu, Ownership, Snowflake, Investment, CMO, Dell, IBM, Comcast, API, Partnership, Forrester, Twitter, Architecture, SQL, Deloitte, American City Business Journals, Organization, Computer data storage, Redshift

SingleStore , the cloud-native database built with speed and scale to power data-intensive applications, today announced the results from a performance and total cost of ownership (TCO) study conducted by analyst and media firm GigaOm.

Key Points: 
  • SingleStore , the cloud-native database built with speed and scale to power data-intensive applications, today announced the results from a performance and total cost of ownership (TCO) study conducted by analyst and media firm GigaOm.
  • These tremendous TCO savings can be attributed to the fact that SingleStoreDB can be used as a single database for modern SaaS applications that previously required stitching together multiple specialized database systems.
  • This study proves that SingleStoreDB both delivers exceptional performance for transactions and analytics, and does it at a lower TCO than most vendors, said Suresh Sathymurthy, CMO, SingleStore.
  • We tried out the proclaimed both sides database, SingleStore, against two common stacks with different operational and analytical databases, so we could determine relative TCO.

ArangoDB Boosts Multi-Model Database Performance with Release of ArangoDB 3.6

Retrieved on: 
Wednesday, January 8, 2020
Data management, Computing, Data, Distributed computing architecture, Structured storage, NoSQL, ArangoDB, Multi-model database, Shard

SAN FRANCISCO and COLOGNE, Germany, Jan. 8, 2020 /PRNewswire-PRWeb/ -- ArangoDB , the leading open source native multi-model database, today announced the GA release of ArangoDB 3.6 .

Key Points: 
  • SAN FRANCISCO and COLOGNE, Germany, Jan. 8, 2020 /PRNewswire-PRWeb/ -- ArangoDB , the leading open source native multi-model database, today announced the GA release of ArangoDB 3.6 .
  • A database created with OneShard enabled is bound to a single database server node, but still replicated synchronously to additional nodes.
  • "With the release of ArangoDB 3.6, we are pleased to offer developers a solution with OneShard, as well as a plethora of additional performance improvements."
  • ArangoDB 3.6 is available immediately for download here , as well as on ArangoDB Oasis , ArangoDB's recently released managed service.

ScyllaDB Unveils Highly Anticipated Features for High-Performance NoSQL Database

Retrieved on: 
Tuesday, November 5, 2019
Computing, Data, Data management, NoSQL, Database, Change data capture, GigaSpaces, Multi-model database

Not content to build the fastest, lowest-latency NoSQL database on the market, ScyllaDB is out to build the best NoSQL database, period.

Key Points: 
  • Not content to build the fastest, lowest-latency NoSQL database on the market, ScyllaDB is out to build the best NoSQL database, period.
  • ScyllaDB unveiled new capabilities including Lightweight Transactions, Change Data Capture (CDC) and an Incremental Compaction Strategy that reduces storage costs as much as 40%.
  • With these latest features, were extending Scyllas benefits to exciting new use cases and opening the door to a wide range of new functionality.
  • The full list of new features includes:
    Lightweight Transactions (LWT): This highly anticipated feature delivers transaction isolation similar to that of traditional relational databases, bringing Scyllas speed and ease-of-use to a new swath of business-critical use cases.

ArangoDB Boosts Multi-Model Database Scalability Across Distributed Environments with Release of ArangoDB 3.5

Retrieved on: 
Wednesday, August 21, 2019
Data management, Computing, Data, Structured storage, Distributed computing architecture, NoSQL, ArangoDB, Multi-model database, Scalability, Database

SAN FRANCISCO and COLOGNE, Germany, Aug. 21, 2019 /PRNewswire-PRWeb/ -- ArangoDB , the leading open source native multi-model database, today announced the GA release of ArangoDB 3.5 .

Key Points: 
  • SAN FRANCISCO and COLOGNE, Germany, Aug. 21, 2019 /PRNewswire-PRWeb/ -- ArangoDB , the leading open source native multi-model database, today announced the GA release of ArangoDB 3.5 .
  • ArangoDB 3.5 contains new features that allow its growing customer base to more easily query, secure and search their growing data sets across multiple data models, making database scalability across distributed environments a reality.
  • With the addition of SmartJoins, ArangoDB Enterprise provides a unique feature set to work with complex queries against distributed data efficiently.
  • With more than 7 million downloads and over 8,000 stargazers on GitHub , ArangoDB is the leading open source native multi-model database.

ArangoDB Expands Executive Team with Chief Revenue Officer and Head of Engineering & Machine Learning

Retrieved on: 
Wednesday, August 14, 2019
Computing, Digital technology, NoSQL, Distributed computing architecture, Structured storage, Cybernetics, Data management, ArangoDB, Multi-model database, Schad, Kubernetes, Machine learning

SAN FRANCISCO, and COLOGNE, Germany, Aug. 14, 2019 /PRNewswire-PRWeb/ -- ArangoDB , the leading open source native multi-model database, today announced it has appointed Matt Ekstrom to Chief Revenue Officer (CRO) and Jrg Schad to Head of Engineering and Machine Learning.

Key Points: 
  • SAN FRANCISCO, and COLOGNE, Germany, Aug. 14, 2019 /PRNewswire-PRWeb/ -- ArangoDB , the leading open source native multi-model database, today announced it has appointed Matt Ekstrom to Chief Revenue Officer (CRO) and Jrg Schad to Head of Engineering and Machine Learning.
  • Schad has nearly a decade of experience of researching, designing and developing distributed systems and machine learning pipelines.
  • Prior to ArangoDB, he built machine learning pipelines in healthcare, machine learning infrastructure and Kubernetes operators at Mesosphere, as well as developed in-memory databases at SAP.
  • "ArangoDB has a world-class engineering team, an innovative product and an engaging community," said Jrg Schad, Head of Engineering and Machine Learning at ArangoDB.

ArangoDB Named to Database Trends and Applications 2019 "DBTA 100"

Retrieved on: 
Friday, June 21, 2019
Data management, Computing, Data, Structured storage, NoSQL, Distributed computing architecture, ArangoDB, Multi-model database, Database

As a native multi-model database, ArangoDB allows developers to utilize multiple data models without adding additional complexity when building their applications.

Key Points: 
  • As a native multi-model database, ArangoDB allows developers to utilize multiple data models without adding additional complexity when building their applications.
  • Across a variety of use cases, ArangoDB is streamlining development as the database behind high-performance applications that scale horizontally with all three data models."
  • All 100 companies are highlighted in the June edition of Database Trends and Applications magazine and on http://www.dbta.com .
  • The "DBTA 100" is compiled annually by the editorial staff at Database Trends and Applications.

Redis Labs Delivers Confidence and Speed to Enterprises on Microsoft Azure

Retrieved on: 
Tuesday, April 23, 2019
Computing, Data management, Digital technology, Structured storage, NoSQL, Distributed computing architecture, Redis Labs, Redis, Cloud infrastructure, Cloud storage, Microsoft Azure, Multi-model database

MOUNTAIN VIEW, Calif., April 23, 2019 /PRNewswire/ -- Redis Labs , the home of Redis and provider of Redis Enterprise , today announced that Redis Enterprise on Microsoft Azure is available as a fully managed Database-as-a-Service in an Azure Virtual Network or as downloadable software.

Key Points: 
  • MOUNTAIN VIEW, Calif., April 23, 2019 /PRNewswire/ -- Redis Labs , the home of Redis and provider of Redis Enterprise , today announced that Redis Enterprise on Microsoft Azure is available as a fully managed Database-as-a-Service in an Azure Virtual Network or as downloadable software.
  • Redis Enterprise on Microsoft Azure delivers a powerful multi-model database for applications' operational data with native data structures, search, graph, streams, AI, time series, document, and probabilistic data structures.
  • We simply insert building blocks into Redis Enterprise VPC as we go and rest easy knowing that, whatever the future holds, Redis Labs has us covered."
  • Specifically, Redis Labs will work directly with Microsoft's global sales force and partners to accelerate the adoption of Redis Enterprise.

ArangoDB Secures $10 million Series A Investment as Global Demand for its Native Multi-Model Database Accelerates

Retrieved on: 
Thursday, March 14, 2019
Data management, Computing, Digital technology, Structured storage, Distributed computing architecture, NoSQL, Databases, ArangoDB, Multi-model database, Venture capital, Polyglot persistence

The company will continue to build-up community support, marketing, human resources as well as sales in Silicon Valley.

Key Points: 
  • The company will continue to build-up community support, marketing, human resources as well as sales in Silicon Valley.
  • However, maximizing the full value of this data often requires multiple data models, each of which typically requires a separate database -- known as polyglot persistence.
  • With more than 7 million downloads and over 7,000 stargazers on GitHub, ArangoDB is the leading open source native multi-model database.
  • With 300 million under management, Target Partners is one of the leading early-stage venture capital firms in Germany.

DataStax Gets Top Honors in Graph Database Report

Retrieved on: 
Thursday, February 21, 2019
Technology, Data management, Hardware, Internet, Networks, Software, Other Technology, Security, Mobile, Wireless, Data management, Computing, Digital technology, NoSQL, Graph databases, Structured storage, DataStax, Database, Multi-model database, Graph

@BloorResearch names @DataStax a Champion in #Graph #Database #Report.

Key Points: 
  • @BloorResearch names @DataStax a Champion in #Graph #Database #Report.
  • The Bloor Graph Database Market Update, 2019 report examined graph database solutions from 14 vendors categorized as providing analytics, multi-model or hybrid offerings, with DSE Graph positioned as a multi-model database solution.
  • Graph databases serve complex applications that involve multiple, complex relationships, but by itself, a graph database can only do so much, said Philip Howard, Research Director, Bloor Research and co-author of the Bloor report.
  • DataStaxs DSE Graph solution provides not only the graph database, but also the features of its DSE distributed database, including continuous availability, hybrid cloud deployment, scalability, and other features, thanks to the integration between its components.

Cambridge Semantics Awarded Highest Rating for Analytic Processing Environments in the Graph Database Market Update 2019 by Bloor Research

Retrieved on: 
Wednesday, January 23, 2019
Data management, Computing, Data, Semantic Web, Database management systems, Graph database, Cambridge Semantics, Triplestore, Database, Resource Description Framework, Multi-model database, Graph

BOSTON, Jan. 23, 2019 /PRNewswire-PRWeb/ --Cambridge Semantics, the leading provider of big data management and enterprise analytics software, announced that its AnzoGraph Graph Database product was rated highest in analytic processing capabilities in the latest Graph Database Market Update 2019 by Bloor Research.

Key Points: 
  • BOSTON, Jan. 23, 2019 /PRNewswire-PRWeb/ --Cambridge Semantics, the leading provider of big data management and enterprise analytics software, announced that its AnzoGraph Graph Database product was rated highest in analytic processing capabilities in the latest Graph Database Market Update 2019 by Bloor Research.
  • The Bloor Graph Database Market Update 2019 compares property graph with RDF databases, native versus non-native implementations, single versus multi-model databases and operational versus analytic solutions.
  • Relative to shifts in the graph database market, Bloor noted that Cambridge Semantics unbundled AnzoGraph from its Anzo Data Lake offering, and that Amazon and SAP also entered the graph database market.
  • ''It is an honor to be named a leading vendor for analytics in the Graph Database market 2019," said Alok Prasad, president of Cambridge Semantics.