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DBMS > Axibase vs. Bangdb vs. GeoSpock vs. Splice Machine

System Properties Comparison Axibase vs. Bangdb vs. GeoSpock vs. Splice Machine

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonBangdb  Xexclude from comparisonGeoSpock  Xexclude from comparisonSplice Machine  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationConverged and high performance database for device data, events, time series, document and graphSpatial and temporal data processing engine for extreme data scaleOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financebangdb.comgeospock.comsplicemachine.com
Technical documentationdocs.bangdb.comsplicemachine.com/­how-it-works
DeveloperAxibase CorporationSachin Sinha, BangDBGeoSpockSplice Machine
Initial release201320122014
Current release15585BangDB 2.0, October 20212.0, September 20193.1, March 2021
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoBSD 3commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Java, JavascriptJava
Server operating systemsLinuxLinuxhostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesnoyes infosecondary, composite, nested, reverse, geospatialtemporal, categoricalyes
SQL infoSupport of SQLSQL-like query languageSQL like support with command line toolANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
Proprietary protocol
RESTful HTTP API
JDBCJDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C#
C++
Java
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoyes infoJava
Triggersyesyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyes
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per tableAccess rights for users, groups and roles according to SQL-standard

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AxibaseBangdbGeoSpockSplice Machine
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