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DBMS > Apache Impala vs. KeyDB vs. RDFox vs. SingleStore

System Properties Comparison Apache Impala vs. KeyDB vs. RDFox vs. SingleStore

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKeyDB  Xexclude from comparisonRDFox  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsHigh performance knowledge graph and semantic reasoning engineMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSKey-value storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument storeRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteimpala.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.oxfordsemantic.techwww.singlestore.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.keydb.devdocs.oxfordsemantic.techdocs.singlestore.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEQ Alpha Technology Ltd.Oxford Semantic TechnologiesSingleStore Inc.
Initial release2013201920172013
Current release4.1.0, June 20226.0, Septermber 20228.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD-3commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++C++, Go
Server operating systemsLinuxLinuxLinux
macOS
Windows
Linux info64 bit version required
Data schemeyesschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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 indexesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP API
SPARQL 1.1
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
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
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLuayes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
replication via a shared file systemSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple password-based access control and ACLRoles, resources, and access typesFine grained access control via users, groups and roles

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More resources
Apache ImpalaKeyDBRDFoxSingleStore infoformer name was MemSQL
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