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DBMS > BigObject vs. Datomic vs. Pinecone vs. SQream DB

System Properties Comparison BigObject vs. Datomic vs. Pinecone vs. SQream DB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatomic  Xexclude from comparisonPinecone  Xexclude from comparisonSQream DB  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 managed, cloud-native vector databasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitebigobject.iowww.datomic.comwww.pinecone.iosqream.com
Technical documentationdocs.bigobject.iodocs.datomic.comdocs.pinecone.io/­docs/­overviewdocs.sqream.com
DeveloperBigObject, Inc.CognitectPinecone Systems, IncSQream Technologies
Initial release2015201220192017
Current release1.0.7075, December 20232022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++, CUDA, Haskell, Java, Scala
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 VMhostedLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes, ANSI Standard SQL Types
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP API.Net
JDBC
ODBC
Supported programming languagesClojure
Java
PythonC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuayes infoTransaction Functionsuser defined functions in Python
TriggersnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peershorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyes 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 developmentno
User concepts infoAccess controlnono

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BigObjectDatomicPineconeSQream DB
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