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DBMS > HEAVY.AI vs. ITTIA vs. Rockset vs. Stardog vs. Tkrzw

System Properties Comparison HEAVY.AI vs. ITTIA vs. Rockset vs. Stardog vs. Tkrzw

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonITTIA  Xexclude from comparisonRockset  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEdge Time Series DBMS with Real-Time Stream ProcessingA scalable, reliable search and analytics service in the cloud, built on RocksDBEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSTime Series DBMSDocument storeGraph DBMS
RDF store
Key-value store
Secondary database modelsSpatial DBMSRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.ittia.comrockset.comwww.stardog.comdbmx.net/­tkrzw
Technical documentationdocs.heavy.aidocs.rockset.comdocs.stardog.com
DeveloperHEAVY.AI, Inc.ITTIA L.L.C.RocksetStardog-UnionMikio Hirabayashi
Initial release20162007201920102020
Current release5.10, January 20228.77.3.0, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC and C++C++JavaC++
Server operating systemsLinuxLinux
Windows
hostedLinux
macOS
Windows
Linux
macOS
Data schemeyesFixed schemaschema-freeschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervaldynamic typingyesno
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.nonono infoingestion from XML files supportedno infoImport/export of XML data possibleno
Secondary indexesnoyesall fields are automatically indexedyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesyesRead-only SQL queries, including JOINsYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
WebSocket
HTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C++
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesnouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnononoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardDatabase file passwordsAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users and rolesno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022ITTIARocksetStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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