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DBMS > Drizzle vs. Hypertable vs. PlanetScale vs. RavenDB vs. SQream DB

System Properties Comparison Drizzle vs. Hypertable vs. PlanetScale vs. RavenDB vs. SQream DB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHypertable  Xexclude from comparisonPlanetScale  Xexclude from comparisonRavenDB  Xexclude from comparisonSQream DB  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.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source BigTable implementation based on distributed file systems such as HadoopScalable, distributed, serverless MySQL database platform built on top of VitessOpen Source Operational and Transactional Enterprise NoSQL Document Databasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSWide column storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteplanetscale.comravendb.netsqream.com
Technical documentationplanetscale.com/­docsravendb.net/­docsdocs.sqream.com
DeveloperDrizzle project, originally started by Brian AkerHypertable Inc.PlanetScaleHibernating RhinosSQream Technologies
Initial release20082009202020102017
Current release7.2.4, September 20120.9.8.11, March 20165.4, July 20222022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++GoC#C++, CUDA, Haskell, Java, Scala
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
Docker
Linux
macOS
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes, ANSI Standard SQL Types
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes infowith proprietary extensionsSQL-like query language (RQL)yes
APIs and other access methodsJDBCC++ API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
.Net
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C++
Java
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes infoproprietary syntaxyesuser defined functions in Python
Triggersno infohooks for callbacks inside the server can be used.noyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor on file system levelMulti-source replication
Source-replica replication
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at shard levelACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
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.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoUsers with fine-grained authorization concept infono user groups or rolesAuthorization levels configured per client per database

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More resources
DrizzleHypertablePlanetScaleRavenDBSQream DB
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