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DBMS > CockroachDB vs. Ignite vs. Kinetica vs. NSDb

System Properties Comparison CockroachDB vs. Ignite vs. Kinetica vs. NSDb

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonIgnite  Xexclude from comparisonKinetica  Xexclude from comparisonNSDb  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.Fully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.cockroachlabs.comignite.apache.orgwww.kinetica.comnsdb.io
Technical documentationwww.cockroachlabs.com/­docsapacheignite.readme.io/­docsdocs.kinetica.comnsdb.io/­Architecture
DeveloperCockroach LabsApache Software FoundationKinetica
Initial release2015201520122017
Current release24.1.0, May 2024Apache Ignite 2.67.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, Java, .NetC, C++Java, Scala
Server operating systemsLinux
macOS
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Data schemedynamic schemayesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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.noyesnono
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyes, wire compatible with PostgreSQLANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersnoyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified range
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
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlRole-based access controlSecurity Hooks for custom implementationsAccess rights for users and roles on table level

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More resources
CockroachDBIgniteKineticaNSDb
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