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DBMS > Hypertable vs. Infobright vs. JanusGraph vs. Splice Machine vs. SQream DB

System Properties Comparison Hypertable vs. Infobright vs. JanusGraph vs. Splice Machine vs. SQream DB

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonInfobright  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQream DB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Sparka GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelWide column storeRelational DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbjanusgraph.orgsplicemachine.comsqream.com
Technical documentationdocs.janusgraph.orgsplicemachine.com/­how-it-worksdocs.sqream.com
DeveloperHypertable Inc.Ignite Technologies Inc.; formerly InfoBright Inc.Linux Foundation; originally developed as Titan by AureliusSplice MachineSQream Technologies
Initial release20092005201720142017
Current release0.9.8.11, March 20160.6.3, February 20233.1, March 20212022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes, ANSI Standard SQL Types
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansno infoKnowledge Grid Technology used insteadyesyesno
SQL infoSupport of SQLnoyesnoyesyes
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
Native Spark Datasource
ODBC
.Net
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesyes infoJavauser defined functions in Python
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shared Nothhing Auto-Sharding, Columnar Partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Faunus, a graph analytics engineYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesUser authentification and security via Rexster Graph ServerAccess rights for users, groups and roles according to SQL-standard

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More resources
HypertableInfobrightJanusGraph infosuccessor of TitanSplice MachineSQream DB
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