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DBMS > Drizzle vs. LeanXcale vs. OrigoDB vs. SQream DB

System Properties Comparison Drizzle vs. LeanXcale vs. OrigoDB vs. SQream DB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonLeanXcale  Xexclude from comparisonOrigoDB  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA fully ACID in-memory object graph databasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.leanxcale.comorigodb.comsqream.com
Technical documentationorigodb.com/­docsdocs.sqream.com
DeveloperDrizzle project, originally started by Brian AkerLeanXcaleRobert Friberg et alSQream Technologies
Initial release200820152009 infounder the name LiveDB2017
Current release7.2.4, September 20122022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Sourcecommercial
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++, CUDA, Haskell, Java, Scala
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes, ANSI Standard SQL 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.no infocan be achieved using .NET
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyes infothrough Apache Derbynoyes
APIs and other access methodsJDBCJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.NET Client API
HTTP API
LINQ
.Net
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C
Java
Scala
.NetC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functions in Python
Triggersno infohooks for callbacks inside the server can be used.yes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole based authorization

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More resources
DrizzleLeanXcaleOrigoDBSQream DB
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