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DBMS > Apache Pinot vs. CockroachDB vs. FatDB vs. IRONdb vs. Yaacomo

System Properties Comparison Apache Pinot vs. CockroachDB vs. FatDB vs. IRONdb vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCockroachDB  Xexclude from comparisonFatDB  Xexclude from comparisonIRONdb  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyCockroachDB 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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Websitepinot.apache.orgwww.cockroachlabs.comwww.circonus.com/solutions/time-series-database/yaacomo.com
Technical documentationdocs.pinot.apache.orgwww.cockroachlabs.com/­docsdocs.circonus.com/irondb/category/getting-started
DeveloperApache Software Foundation and contributorsCockroach LabsFatCloudCirconus LLC.Q2WEB GmbH
Initial release20152015201220172009
Current release1.0.0, September 202324.1.0, May 2024V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC#C and C++
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
Windows
WindowsLinuxAndroid
Linux
Windows
Data schemeyesdynamic schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histogramsyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyes, wire compatible with PostgreSQLno infoVia inetgration in SQL ServerSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsJDBCJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP APIJDBC
ODBC
Supported programming languagesGo
Java
Python
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsyes, in Lua
Triggersnoyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal 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 RAFTShardingAutomatic, metric affinity per nodehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTselectable replication factorconfigurable replication factor, datacenter awareSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRole-based access controlno infoCan implement custom security layer via applicationsnofine grained access rights according to SQL-standard

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More resources
Apache PinotCockroachDBFatDBIRONdbYaacomo
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