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DBMS > Altibase vs. Axibase vs. Datomic vs. Google Cloud Datastore vs. PouchDB

System Properties Comparison Altibase vs. Axibase vs. Datomic vs. Google Cloud Datastore vs. PouchDB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAxibase  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitealtibase.comaxibase.com/­docs/­atsd/­financewww.datomic.comcloud.google.com/­datastorepouchdb.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.datomic.comcloud.google.com/­datastore/­docspouchdb.com/­guides
DeveloperAltibaseAxibase CorporationCognitectGoogleApache Software Foundation
Initial release19992013201220082012
Current releasev7.3, 2023, August 2023155851.0.6735, June 20237.1.1, June 2019
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infolimited edition freecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava, ClojureJavaScript
Server operating systemsAIX
HP-UX
Linux
LinuxAll OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes, details hereno
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.nonononono
Secondary indexesyesnoyesyesyes infovia views
SQL infoSupport of SQLANSI SQL-92SQL-like query languagenoSQL-like query language (GQL)no
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C++
Java
Go
Java
PHP
Python
R
Ruby
Clojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresstored procedures and stored functionsyesyes infoTransaction Functionsusing Google App EngineView functions in JavaScript
TriggersyesyesBy using transaction functionsCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone infoBut extensive use of caching in the application peersShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone infoBut extensive use of caching in the application peersMulti-source replication using PaxosMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate 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.Eventual Consistency
Foreign keys infoReferential integrityyesnonoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using IndexedDB, WebSQL or LevelDB as backend
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 developmentnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
AltibaseAxibaseDatomicGoogle Cloud DatastorePouchDB
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