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DBMS > CockroachDB vs. Datomic vs. Ignite vs. Sphinx

System Properties Comparison CockroachDB vs. Datomic vs. Ignite vs. Sphinx

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonIgnite  Xexclude from comparisonSphinx  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.10
Rank#58  Overall
#33  Relational DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitewww.cockroachlabs.comwww.datomic.comignite.apache.orgsphinxsearch.com
Technical documentationwww.cockroachlabs.com/­docsdocs.datomic.comapacheignite.readme.io/­docssphinxsearch.com/­docs
DeveloperCockroach LabsCognitectApache Software FoundationSphinx Technologies Inc.
Initial release2015201220152001
Current release23.1.1, May 20231.0.6735, June 2023Apache Ignite 2.63.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureC++, Java, .NetC++
Server operating systemsLinux
macOS
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedynamic schemayesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyes
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)
APIs and other access methodsJDBCRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)no
TriggersnoBy using transaction functionsyes (cache interceptors and events)no
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 RAFTnone infoBut extensive use of caching in the application peersShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnone infoBut extensive use of caching in the application peersyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlRole-based access controlnoSecurity Hooks for custom implementationsno

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CockroachDBDatomicIgniteSphinx
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