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DBMS > atoti vs. Datomic vs. Qdrant vs. SWC-DB

System Properties Comparison atoti vs. Datomic vs. Qdrant vs. SWC-DB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatomic  Xexclude from comparisonQdrant  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA high-performance vector database with neural network or semantic-based matchingA high performance, scalable Wide Column DBMS
Primary database modelObject oriented DBMSRelational DBMSVector DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.01
Rank#378  Overall
#13  Wide column stores
Websiteatoti.iowww.datomic.comgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.atoti.iodocs.datomic.comqdrant.tech/­documentation
DeveloperActiveViamCognitectQdrantAlex Kashirin
Initial release201220212020
Current release1.0.7180, July 20240.5, April 2021
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureRustC++
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
Windows
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Boolean
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 indexesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonoSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Proprietary protocol
Thrift
Supported programming languagesClojure
Java
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Server-side scripts infoStored proceduresPythonyes infoTransaction Functionsno
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnoKey-based authentication

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More resources
atotiDatomicQdrantSWC-DB infoSuper Wide Column Database
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