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DBMS > CrateDB vs. FeatureBase vs. KeyDB vs. Riak TS

System Properties Comparison CrateDB vs. FeatureBase vs. KeyDB vs. Riak TS

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonKeyDB  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDistributed Database based on LuceneReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitecratedb.comwww.featurebase.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationcratedb.com/­docsdocs.featurebase.comdocs.keydb.devwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperCrateMolecula and Pilosa Open Source ContributorsEQ Alpha Technology Ltd.Open Source, formerly Basho Technologies
Initial release2013201720192015
Current release2022, May 20223.0.0, September 2022
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoBSD-3Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++Erlang
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
LinuxLinux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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.nononono
Secondary indexesyesnoyes infoby using the Redis Search modulerestricted
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL queriesnoyes, limited
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP API
Native Erlang Interface
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Java
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions (Javascript)LuaErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyesMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyyesOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlrights management via user accountssimple password-based access control and ACLno

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More resources
CrateDBFeatureBaseKeyDBRiak TS
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