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DBMS > BigObject vs. Datomic vs. DuckDB vs. FeatureBase vs. InfinityDB

System Properties Comparison BigObject vs. Datomic vs. DuckDB vs. FeatureBase vs. InfinityDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatomic  Xexclude from comparisonDuckDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonInfinityDB  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 durabilityAn embeddable, in-process, column-oriented SQL OLAP RDBMSReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMSKey-value store
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
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Websitebigobject.iowww.datomic.comduckdb.orgwww.featurebase.comboilerbay.com
Technical documentationdocs.bigobject.iodocs.datomic.comduckdb.org/­docsdocs.featurebase.comboilerbay.com/­infinitydb/­manual
DeveloperBigObject, Inc.CognitectMolecula and Pilosa Open Source ContributorsBoiler Bay Inc.
Initial release20152012201820172002
Current release1.0.7075, December 20231.0.0, June 20242022, May 20224.0
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infolimited edition freeOpen Source infoMIT Licensecommercialcommercial
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, ClojureC++GoJava
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 VMserver-lessLinux
macOS
All OS with a Java VM
Data schemeyesyesyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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.nonononono
Secondary indexesyesyesyesnono infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL queriesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesClojure
Java
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Java
Python
Java
Server-side scripts infoStored proceduresLuayes infoTransaction Functionsnono
TriggersnoBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonoyesno infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyesACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, using Linux fsyncyes
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 developmentyesyesno
User concepts infoAccess controlnononono

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More resources
BigObjectDatomicDuckDBFeatureBaseInfinityDB
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