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DBMS > Drizzle vs. HarperDB vs. Kinetica vs. Splunk vs. SurrealDB

System Properties Comparison Drizzle vs. HarperDB vs. Kinetica vs. Splunk vs. SurrealDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonKinetica  Xexclude from comparisonSplunk  Xexclude from comparisonSurrealDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Fully vectorized database across both GPUs and CPUsAnalytics Platform for Big DataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSDocument storeRelational DBMSSearch engineDocument store
Graph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitewww.harperdb.iowww.kinetica.comwww.splunk.comsurrealdb.com
Technical documentationdocs.harperdb.io/­docsdocs.kinetica.comdocs.splunk.com/­Documentation/­Splunksurrealdb.com/­docs
DeveloperDrizzle project, originally started by Brian AkerHarperDBKineticaSplunk Inc.SurrealDB Ltd
Initial release20082017201220032022
Current release7.2.4, September 20123.1, August 20217.1, August 2021v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree community edition availablecommercialcommercial infoLimited free edition and free developer edition availableOpen 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++Node.jsC, C++Rust
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
LinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesdynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like data manipulation statementsSQL-like DML and DDL statementsno infoSplunk Search Processing Language for search commandsSQL-like query language
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
HTTP RESTGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
PHP
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1user defined functionsyes
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 dataACIDAtomic execution of specific operationsnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesAccess rights for users and roles on table levelAccess rights for users and rolesyes, based on authentication and database rules

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More resources
DrizzleHarperDBKineticaSplunkSurrealDB
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