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DBMS > CrateDB vs. Graph Engine vs. HEAVY.AI vs. jBASE

System Properties Comparison CrateDB vs. Graph Engine vs. HEAVY.AI vs. jBASE

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA robust multi-value DBMS comprising development tools and middleware
Primary database modelRelational DBMS
Search engine
Graph DBMS
Key-value store
Relational DBMSMultivalue DBMS
Secondary database modelsDocument store
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#178  Overall
#86  Relational DBMS
#13  Search engines
Score0.91
Rank#184  Overall
#16  Graph DBMS
#30  Key-value stores
Score1.29
Rank#153  Overall
#73  Relational DBMS
Score1.80
Rank#133  Overall
#3  Multivalue DBMS
Websitecrate.iowww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.jbase.com
Technical documentationcrate.io/­docswww.graphengine.io/­docs/­manualdocs.heavy.aidocs.zumasys.com/­jbase
DeveloperCrateMicrosoftHEAVY.AI, Inc.Zumasys
Initial release2013201020161991
Current release5.10, January 20225.7
License infoCommercial or Open SourceOpen SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava.NET and CC++ and CUDA
Server operating systemsAll OS with a Java 7 (and higher) VM.NETLinuxAIX
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyes
Secondary indexesyesno
SQL infoSupport of SQLyes, but no triggers and constraintsnoyesEmbedded SQL for jBASE in BASIC
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresuser defined functionsyesnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardAccess rights can be defined down to the item level
More information provided by the system vendor
CrateDBGraph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASE
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
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Optimizes memory and compute layers to deliver unprecedented performance. Natively...
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Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
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Only HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
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Advanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
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Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
HEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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More resources
CrateDBGraph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASE
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