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DBMS > Altibase vs. Datomic vs. GeoMesa vs. Google Cloud Datastore

System Properties Comparison Altibase vs. Datomic vs. GeoMesa vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonDatomic  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSDatomic 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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelRelational DBMSRelational DBMSSpatial DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Websitealtibase.comwww.datomic.comwww.geomesa.orgcloud.google.com/­datastore
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.datomic.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­datastore/­docs
DeveloperAltibaseCognitectCCRi and othersGoogle
Initial release1999201220142008
Current releasev7.3, 2023, August 20231.0.7075, December 20235.0.0, May 2024
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infolimited edition freeOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ClojureScala
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VMhosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, details here
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 indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92nonoSQL-like query language (GQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
Clojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresstored procedures and stored functionsyes infoTransaction Functionsnousing Google App Engine
TriggersyesBy using transaction functionsnoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersdepending on storage layerMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layerImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyesnonoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentdepending on storage layerno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AltibaseDatomicGeoMesaGoogle Cloud Datastore
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