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DBMS > atoti vs. Qdrant vs. RethinkDB vs. Splice Machine

System Properties Comparison atoti vs. Qdrant vs. RethinkDB vs. Splice Machine

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonQdrant  Xexclude from comparisonRethinkDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A high-performance vector database with neural network or semantic-based matchingDBMS for the Web with a mechanism to push updated query results to applications in realtime.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMSVector DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.28
Rank#167  Overall
#7  Vector DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteatoti.iogithub.com/­qdrant/­qdrant
qdrant.tech
rethinkdb.comsplicemachine.com
Technical documentationdocs.atoti.ioqdrant.tech/­documentationrethinkdb.com/­docssplicemachine.com/­how-it-works
DeveloperActiveViamQdrantThe Linux Foundation infosince July 2017Splice Machine
Initial release202120092014
Current release2.4.1, August 20203.1, March 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustC++Java
Server operating systemsDocker
Linux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanyes infostring, binary, float, bool, date, geometryyes
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
Secondary indexesyes infoKeywords, numberic ranges, geo, full-textyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonoyes
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresPythonyes infoJava
TriggersClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding inforange basedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infoMVCC basedyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlKey-based authenticationyes infousers and table-level permissionsAccess rights for users, groups and roles according to SQL-standard

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More resources
atotiQdrantRethinkDBSplice Machine
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