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DBMS > Altibase vs. Apache Druid vs. Datomic vs. OrigoDB

System Properties Comparison Altibase vs. Apache Druid vs. Datomic vs. OrigoDB

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Druid  Xexclude from comparisonDatomic  Xexclude from comparisonOrigoDB  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 dataDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fully ACID in-memory object graph database
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Object oriented DBMS
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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitealtibase.comdruid.apache.orgwww.datomic.comorigodb.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdruid.apache.org/­docs/­latest/­designdocs.datomic.comorigodb.com/­docs
DeveloperAltibaseApache Software Foundation and contributorsCognitectRobert Friberg et al
Initial release1999201220122009 infounder the name LiveDB
Current releasev7.3, 2023, August 202329.0.1, April 20241.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache license v2commercial infolimited edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava, ClojureC#
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Unix
All OS with a Java VMLinux
Windows
Data schemeyesyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92SQL for queryingnono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
RESTful HTTP/JSON API
RESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesC
C++
Java
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Clojure
Java
.Net
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes infoTransaction Functionsyes
TriggersyesnoBy using transaction functionsyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basednone infoBut extensive use of caching in the application peershorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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)yes infoWrite ahead log
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 developmentyes
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 systemnoRole based authorization

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More resources
AltibaseApache DruidDatomicOrigoDB
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