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DBMS > Hypertable vs. Infobright vs. Informix vs. JanusGraph vs. Splice Machine

System Properties Comparison Hypertable vs. Infobright vs. Informix vs. JanusGraph vs. Splice Machine

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonInfobright  Xexclude from comparisonInformix  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSplice Machine  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 secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA 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 Spark
Primary database modelWide column storeRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbwww.ibm.com/­products/­informixjanusgraph.orgsplicemachine.com
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.janusgraph.orgsplicemachine.com/­how-it-works
DeveloperHypertable Inc.Ignite Technologies Inc.; formerly InfoBright Inc.IBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Linux Foundation; originally developed as Titan by AureliusSplice Machine
Initial release20092005198420172014
Current release0.9.8.11, March 201614.10.FC5, November 20200.6.3, February 20233.1, March 2021
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 2016commercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC, C++ and JavaJavaJava
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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 insteadyesyesyes
SQL infoSupport of SQLnoyesyesnoyes
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
ODBC
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
Native Spark Datasource
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
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesyesyes infoJava
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationMulti-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia Faunus, a graph analytics engineYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesUsers with fine-grained authentication, authorization, and auditing controlsUser authentification and security via Rexster Graph ServerAccess rights for users, groups and roles according to SQL-standard

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More resources
HypertableInfobrightInformixJanusGraph infosuccessor of TitanSplice Machine
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