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DBMS > BigObject vs. Datomic vs. HugeGraph vs. OushuDB vs. Qdrant

System Properties Comparison BigObject vs. Datomic vs. HugeGraph vs. OushuDB vs. Qdrant

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonOushuDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fast-speed and highly-scalable Graph DBMSA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSGraph DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitebigobject.iowww.datomic.comgithub.com/­hugegraph
hugegraph.apache.org
www.oushu.com/­product/­oushuDBgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.bigobject.iodocs.datomic.comhugegraph.apache.org/­docswww.oushu.com/­documentationqdrant.tech/­documentation
DeveloperBigObject, Inc.CognitectBaiduOushuQdrant
Initial release2015201220182021
Current release1.0.6735, June 20230.94.0.1, August 2020
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infolimited edition freeOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
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 languageJava, ClojureJavaRust
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMLinux
macOS
Unix
LinuxDocker
Linux
macOS
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesNumbers, 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.nononono
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoFull-featured ANSI SQL supportno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesClojure
Java
Groovy
Java
Python
C
C++
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresLuayes infoTransaction Functionsasynchronous Gremlin script jobsyes
TriggersnoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyesyes
User concepts infoAccess controlnonoUsers, roles and permissionsKerberos, SSL and role based accessKey-based authentication

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More resources
BigObjectDatomicHugeGraphOushuDBQdrant
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