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DBMS > Altibase vs. Amazon DocumentDB vs. Axibase vs. Datomic vs. Google Cloud Datastore

System Properties Comparison Altibase vs. Amazon DocumentDB vs. Axibase vs. Datomic vs. Google Cloud Datastore

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonAxibase  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable 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 Platform
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
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
Websitealtibase.comaws.amazon.com/­documentdbaxibase.com/­docs/­atsd/­financewww.datomic.comcloud.google.com/­datastore
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsaws.amazon.com/­documentdb/­resourcesdocs.datomic.comcloud.google.com/­datastore/­docs
DeveloperAltibaseAxibase CorporationCognitectGoogle
Initial release19992019201320122008
Current releasev7.3, 2023, August 2023155851.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava, Clojure
Server operating systemsAIX
HP-UX
Linux
hostedLinuxAll OS with a Java VMhosted
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoshort, integer, long, float, double, decimal, stringyesyes, 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.nonononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLANSI SQL-92noSQL-like query languagenoSQL-like query language (GQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
proprietary protocol using JSON (MongoDB compatible)JDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
Go
Java
JavaScript (Node.js)
PHP
Python
Go
Java
PHP
Python
R
Ruby
Clojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyesyes infoTransaction Functionsusing Google App Engine
TriggersyesnoyesBy using transaction functionsCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationnone infoBut extensive use of caching in the application peersMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenonoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsnoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AltibaseAmazon DocumentDBAxibaseDatomicGoogle Cloud Datastore
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