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DBMS > Datomic vs. GeoMesa vs. GigaSpaces vs. HEAVY.AI vs. Riak KV

System Properties Comparison Datomic vs. GeoMesa vs. GigaSpaces vs. HEAVY.AI vs. Riak KV

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGeoMesa  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA 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 modelRelational DBMSSpatial DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.datomic.comwww.geomesa.orgwww.gigaspaces.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.datomic.comwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.heavy.aiwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCognitectCCRi and othersGigaspaces TechnologiesHEAVY.AI, Inc.OpenSource, formerly Basho Technologies
Initial release20122014200020162009
Current release1.0.7075, December 20235.0.0, May 202415.5, September 20205.10, January 20223.2.0, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureScalaJava, C++, .NetC++ and CUDAErlang
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
LinuxLinux
OS X
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesnorestricted
SQL infoSupport of SQLnonoSQL-99 for query and DML statementsyesno
APIs and other access methodsRESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
HTTP API
Native Erlang Interface
Supported programming languagesClojure
Java
.Net
C++
Java
Python
Scala
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 proceduresyes infoTransaction FunctionsnoyesnoErlang
TriggersBy using transaction functionsnoyes, event driven architecturenoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersdepending on storage layerShardingSharding infoRound robinSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersdepending on storage layerMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentdepending on storage layeryesyes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageRole-based access controlfine grained access rights according to SQL-standardyes, using Riak Security

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