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DBMS > Bangdb vs. GeoSpock vs. HEAVY.AI vs. Riak KV

System Properties Comparison Bangdb vs. GeoSpock vs. HEAVY.AI vs. Riak KV

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGeoSpock  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRiak KV  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphSpatial and temporal data processing engine for extreme data scaleA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed, fault tolerant key-value store
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMSTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitebangdb.comgeospock.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.bangdb.comdocs.heavy.aiwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperSachin Sinha, BangDBGeoSpockHEAVY.AI, Inc.OpenSource, formerly Basho Technologies
Initial release201220162009
Current releaseBangDB 2.0, October 20212.0, September 20195.10, January 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, JavascriptC++ and CUDAErlang
Server operating systemsLinuxhostedLinuxLinux
OS X
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesno
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialtemporal, categoricalnorestricted
SQL infoSupport of SQLSQL like support with command line toolANSI SQL for query only (using Presto)yesno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBCJDBC
ODBC
Thrift
Vega
HTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Java
Python
All languages supporting JDBC/ODBC/Thrift
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnononoErlang
Triggersyes, Notifications (with Streaming only)nonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmAutomatic shardingSharding infoRound robinSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 tablefine grained access rights according to SQL-standardyes, using Riak Security

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More resources
BangdbGeoSpockHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Riak KV
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