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DBMS > Axibase vs. Badger vs. HEAVY.AI vs. Hypertable vs. Splice Machine

System Properties Comparison Axibase vs. Badger vs. HEAVY.AI vs. Hypertable vs. Splice Machine

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonBadger  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonSplice Machine  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as HadoopOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSKey-value storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financegithub.com/­dgraph-io/­badgergithub.com/­heavyai/­heavydb
www.heavy.ai
splicemachine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.heavy.aisplicemachine.com/­how-it-works
DeveloperAxibase CorporationDGraph LabsHEAVY.AI, Inc.Hypertable Inc.Splice Machine
Initial release20132017201620092014
Current release155855.10, January 20220.9.8.11, March 20163.1, March 2021
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++ and CUDAC++Java
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringnoyesnoyes
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
Secondary indexesnononorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like query languagenoyesnoyes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
C++ API
Thrift
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
GoAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnononoyes infoJava
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replicationselectable replication factor on file system levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
AxibaseBadgerHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableSplice Machine
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