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DBMS > Apache Impala vs. KeyDB vs. Quasardb vs. SiteWhere vs. SurrealDB

System Properties Comparison Apache Impala vs. KeyDB vs. Quasardb vs. SiteWhere vs. SurrealDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKeyDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSKey-value storeTime Series DBMSTime Series DBMSDocument store
Graph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websiteimpala.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
quasar.aigithub.com/­sitewhere/­sitewheresurrealdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.keydb.devdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.htmlsurrealdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEQ Alpha Technology Ltd.quasardbSiteWhereSurrealDB Ltd
Initial release20132019200920102022
Current release4.1.0, June 20223.14.1, January 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD-3commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0Open Source
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++C++JavaRust
Server operating systemsLinuxLinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-freeschema-freepredefined schemeschema-free
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 indexesyes infointeger and binaryyesyes
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 indexesyesyes infoby using the Redis Search moduleyes infowith tagsno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languagenoSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP APIHTTP RESTGraphQL
RESTful HTTP API
WebSocket
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
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLuano
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple password-based access control and ACLCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptyes, based on authentication and database rules

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More resources
Apache ImpalaKeyDBQuasardbSiteWhereSurrealDB
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