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DBMS > Altibase vs. Apache Druid vs. Axibase vs. Datomic vs. Google Cloud Datastore

System Properties Comparison Altibase vs. Apache Druid vs. Axibase vs. Datomic vs. Google Cloud Datastore

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Druid  Xexclude from comparisonAxibase  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable 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 DBMSRelational DBMS
Time Series DBMS
Time 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
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series 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
Websitealtibase.comdruid.apache.orgaxibase.com/­docs/­atsd/­financewww.datomic.comcloud.google.com/­datastore
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdruid.apache.org/­docs/­latest/­designdocs.datomic.comcloud.google.com/­datastore/­docs
DeveloperAltibaseApache Software Foundation and contributorsAxibase CorporationCognitectGoogle
Initial release19992012201320122008
Current releasev7.3, 2023, August 202329.0.1, April 2024155851.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache license v2commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaJava, Clojure
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Unix
LinuxAll OS with a Java VMhosted
Data schemeyesyes infoschema-less columns are supportedyesyesschema-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-92SQL for queryingSQL-like query languagenoSQL-like query language (GQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
RESTful HTTP/JSON API
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
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 nodesShardingSharding infomanual/auto, time-basedShardingnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesSource-replica replicationnone infoBut extensive use of caching in the application peersMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes 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 integrityyesnononoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID 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.yesnoyes inforecommended only for testing and developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AltibaseApache DruidAxibaseDatomicGoogle Cloud Datastore
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