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DBMS > Drizzle vs. ITTIA vs. LeanXcale vs. OrigoDB

System Properties Comparison Drizzle vs. ITTIA vs. LeanXcale vs. OrigoDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonITTIA  Xexclude from comparisonLeanXcale  Xexclude from comparisonOrigoDB  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.Edge Time Series DBMS with Real-Time Stream ProcessingA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA fully ACID in-memory object graph database
Primary database modelRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitewww.ittia.comwww.leanxcale.comorigodb.com
Technical documentationorigodb.com/­docs
DeveloperDrizzle project, originally started by Brian AkerITTIA L.L.C.LeanXcaleRobert Friberg et al
Initial release2008200720152009 infounder the name LiveDB
Current release7.2.4, September 20128.7
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C#
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Linux
Windows
Data schemeyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/IntervalUser defined using .NET types and collections
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.nono infocan be achieved using .NET
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesyes infothrough Apache Derbyno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.NET Client API
HTTP API
LINQ
Supported programming languagesC
C++
Java
PHP
C
C++
JavaScript (Node.js)
Python
C
Java
Scala
.Net
Server-side scripts infoStored proceduresnoyesyes
Triggersno infohooks for callbacks inside the server can be used.noyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPDatabase file passwordsRole based authorization

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More resources
DrizzleITTIALeanXcaleOrigoDB
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