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DBMS > Datomic vs. NuoDB vs. OceanBase vs. Solr

System Properties Comparison Datomic vs. NuoDB vs. OceanBase vs. Solr

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonNuoDB  Xexclude from comparisonOceanBase  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityNuoDB is a webscale distributed database that supports SQL and ACID transactionsA distributed, high available RDBMS compatible with Oracle and MySQLA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Wide column store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.datomic.comwww.3ds.com/­nuodb-distributed-sql-databaseen.oceanbase.comsolr.apache.org
Technical documentationdocs.datomic.comdoc.nuodb.comen.oceanbase.com/­docs/­oceanbase-databasesolr.apache.org/­resources.html
DeveloperCognitectDassault Systèmes infooriginally NuoDB, Inc.OceanBase infopreviously Alibaba and Ant GroupApache Software Foundation
Initial release2012201320102006
Current release1.0.7075, December 20234.3.0, April 20249.6.1, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infolimited edition freeOpen Source infoCommercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++C++Java
Server operating systemsAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nonoyesyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesyesSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Java API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava, SQLPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeJava plugins
TriggersBy using transaction functionsyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoManaged transparently by NuoDBMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infotunable commit protocolACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infoTemporary tableyes
User concepts infoAccess controlnoStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standardyes

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