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DBMS > CockroachDB vs. Ignite vs. Oracle Coherence vs. Sphinx vs. Splice Machine

System Properties Comparison CockroachDB vs. Ignite vs. Oracle Coherence vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonIgnite  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Oracles in-memory data grid solutionOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.cockroachlabs.comignite.apache.orgwww.oracle.com/­java/­coherencesphinxsearch.comsplicemachine.com
Technical documentationwww.cockroachlabs.com/­docsapacheignite.readme.io/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencesphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperCockroach LabsApache Software FoundationOracleSphinx Technologies Inc.Splice Machine
Initial release20152015200720012014
Current release24.1.0, May 2024Apache Ignite 2.614.1, August 20233.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, Java, .NetJavaC++Java
Server operating systemsLinux
macOS
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemedynamic schemayesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesno
Secondary indexesyesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
RESTful HTTP API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nonoyes infoJava
Triggersnoyes (cache interceptors and events)yes infoLive Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyes (replicated cache)yes, with selectable consistency levelnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDconfigurablenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infooptionallyyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlRole-based access controlSecurity Hooks for custom implementationsauthentification to access the cache via certificates or http basic authenticationnoAccess rights for users, groups and roles according to SQL-standard

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More resources
CockroachDBIgniteOracle CoherenceSphinxSplice Machine
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