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DBMS > Brytlyt vs. CockroachDB vs. GeoMesa vs. Ignite vs. TerarkDB

System Properties Comparison Brytlyt vs. CockroachDB vs. GeoMesa vs. Ignite vs. TerarkDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCockroachDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonIgnite  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCockroachDB 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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.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.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSSpatial DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitebrytlyt.iowww.cockroachlabs.comwww.geomesa.orgignite.apache.orggithub.com/­bytedance/­terarkdb
Technical documentationdocs.brytlyt.iowww.cockroachlabs.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlapacheignite.readme.io/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperBrytlytCockroach LabsCCRi and othersApache Software FoundationByteDance, originally Terark
Initial release20162015201420152016
Current release5.0, August 202323.1.1, May 20234.0.5, February 2024Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoApache License 2.0Open Source infoApache 2.0commercial inforestricted open source version 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 languageC, C++ and CUDAGoScalaC++, Java, .NetC++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesdynamic schemayesyesschema-free
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.yes infospecific XML-type available, but no XML query functionality.nonoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonoyes (compute grid and cache interceptors can be used instead)no
Triggersyesnonoyes (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 RAFTdepending on storage layerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTdepending on storage layeryes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlyes infodepending on the DBMS used for storageSecurity Hooks for custom implementationsno

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More resources
BrytlytCockroachDBGeoMesaIgniteTerarkDB
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