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DBMS > CockroachDB vs. Firebird vs. Ignite vs. Oracle Coherence vs. Sphinx

System Properties Comparison CockroachDB vs. Firebird vs. Ignite vs. Oracle Coherence vs. Sphinx

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonFirebird  Xexclude from comparisonIgnite  Xexclude from comparisonOracle Coherence  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.Firebird is an open source RDBMS forked from Borland's InterBaseApache 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 databases
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Key-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score20.50
Rank#30  Overall
#18  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
Websitewww.cockroachlabs.comwww.firebirdsql.orgignite.apache.orgwww.oracle.com/­java/­coherencesphinxsearch.com
Technical documentationwww.cockroachlabs.com/­docswww.firebirdsql.org/­en/­reference-manualsapacheignite.readme.io/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencesphinxsearch.com/­docs
DeveloperCockroach LabsFirebird FoundationApache Software FoundationOracleSphinx Technologies Inc.
Initial release20152000 infoAs fork of Borland's InterBase201520072001
Current release24.1.0, May 20245.0.0, January 2024Apache Ignite 2.614.1, August 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C++, Java, .NetJavaC++
Server operating systemsLinux
macOS
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedynamic schemayesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyes, wire compatible with PostgreSQLyesANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBCADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
RESTful HTTP API
Proprietary protocol
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
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
Server-side scripts infoStored proceduresnoPSQLyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyesyes (cache interceptors and events)yes infoLive Eventsno
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 RAFTnoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationyes (replicated cache)yes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes 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.noyesyes
User concepts infoAccess controlRole-based access controlUsers with fine-grained authorization conceptSecurity Hooks for custom implementationsauthentification to access the cache via certificates or http basic authenticationno

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CockroachDBFirebirdIgniteOracle CoherenceSphinx
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