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DBMS > Drizzle vs. FatDB vs. RisingWave vs. SurrealDB vs. TimescaleDB

System Properties Comparison Drizzle vs. FatDB vs. RisingWave vs. SurrealDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFatDB  Xexclude from comparisonRisingWave  Xexclude from comparisonSurrealDB  Xexclude from comparisonTimescaleDB  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.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A distributed RDBMS for stream processing, wire-compatible with PostgreSQLA fully ACID transactional, developer-friendly, multi-model DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSDocument store
Graph DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.risingwave.com/­databasesurrealdb.comwww.timescale.com
Technical documentationdocs.risingwave.com/­docs/­current/­introsurrealdb.com/­docsdocs.timescale.com
DeveloperDrizzle project, originally started by Brian AkerFatCloudRisingWave LabsSurrealDB LtdTimescale
Initial release20082012202220222017
Current release7.2.4, September 20121.2, September 2023v1.5.0, May 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#RustRustC
Server operating systemsFreeBSD
Linux
OS X
WindowsDocker
Linux
macOS
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsno infoVia inetgration in SQL ServeryesSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
PostgreSQL wire protocol
GraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
PHP
C#Go
Java
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infovia applicationsUDFs in Python or Javauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersno infohooks for callbacks inside the server can be used.yes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applicationsUsers and Rolesyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
DrizzleFatDBRisingWaveSurrealDBTimescaleDB
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