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DBMS > IRONdb vs. JaguarDB vs. OushuDB vs. Qdrant vs. Splice Machine

System Properties Comparison IRONdb vs. JaguarDB vs. OushuDB vs. Qdrant vs. Splice Machine

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonJaguarDB  Xexclude from comparisonOushuDB  Xexclude from comparisonQdrant  Xexclude from comparisonSplice Machine  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityPerformant, highly scalable DBMS for AI and IoT applicationsA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA high-performance vector database with neural network or semantic-based matchingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSKey-value store
Vector DBMS
Relational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/www.jaguardb.comwww.oushu.com/­product/­oushuDBgithub.com/­qdrant/­qdrant
qdrant.tech
splicemachine.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.jaguardb.com/­support.htmlwww.oushu.com/­documentationqdrant.tech/­documentationsplicemachine.com/­how-it-works
DeveloperCirconus LLC.DataJaguar, Inc.OushuQdrantSplice Machine
Initial release2017201520212014
Current releaseV0.10.20, January 20183.3 July 20234.0.1, August 20203.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license available
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 and C++C++ infothe server part. Clients available in other languagesRustJava
Server operating systemsLinuxLinuxLinuxDocker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesNumbers, Strings, Geo, Booleanyes
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.nonono
Secondary indexesnoyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersFull-featured ANSI SQL supportnoyes
APIs and other access methodsHTTP APIJDBC
ODBC
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes, in Luanoyesyes infoJava
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingyesShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMulti-source replicationCollection-level replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyesyes
User concepts infoAccess controlnorights management via user accountsKerberos, SSL and role based accessKey-based authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
IRONdbJaguarDBOushuDBQdrantSplice Machine
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