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DBMS > BigObject vs. Datomic vs. Interbase vs. RisingWave vs. YugabyteDB

System Properties Comparison BigObject vs. Datomic vs. Interbase vs. RisingWave vs. YugabyteDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatomic  Xexclude from comparisonInterbase  Xexclude from comparisonRisingWave  Xexclude from comparisonYugabyteDB  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 durabilityLight-weight proven RDBMS infooriginally from BorlandA distributed RDBMS for stream processing, wire-compatible with PostgreSQLHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#332  Overall
#148  Relational DBMS
Score1.47
Rank#145  Overall
#66  Relational DBMS
Score3.62
Rank#77  Overall
#41  Relational DBMS
Score0.63
Rank#228  Overall
#106  Relational DBMS
Score2.36
Rank#107  Overall
#53  Relational DBMS
Websitebigobject.iowww.datomic.comwww.embarcadero.com/­products/­interbasewww.risingwave.com/­databasewww.yugabyte.com
Technical documentationdocs.bigobject.iodocs.datomic.comdocs.embarcadero.com/­products/­interbasedocs.risingwave.com/­docs/­current/­introdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperBigObject, Inc.CognitectEmbarcaderoRisingWave LabsYugabyte Inc.
Initial release20152012198420222017
Current release1.0.7180, July 2024InterBase 2020, December 20191.2, September 20232.19, September 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infolimited edition freecommercialOpen Source infoApache Version 2.0Open Source infoApache 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, ClojureCRustC and C++
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 VMAndroid
iOS
Linux
OS X
Windows
Docker
Linux
macOS
Linux
OS X
Data schemeyesyesyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSONyes
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 infoexport as XML data possiblenono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyesyes, PostgreSQL compatible
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
PostgreSQL wire protocol
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesClojure
Java
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresLuayes infoTransaction Functionsyes infoInterbase procedure and trigger languageUDFs in Python or Javayes infosql, plpgsql, C
TriggersnoBy using transaction functionsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersInterbase Change ViewsBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infobased on RocksDB
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 controlnonofine grained access rights according to SQL-standardUsers and Rolesyes

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More resources
BigObjectDatomicInterbaseRisingWaveYugabyteDB
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