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DBMS > Datomic vs. InterSystems IRIS vs. STSdb vs. Vertica vs. YugabyteDB

System Properties Comparison Datomic vs. InterSystems IRIS vs. STSdb vs. Vertica vs. YugabyteDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSTSdb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeRelational DBMS infoColumn orientedRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.datomic.comwww.intersystems.com/­products/­intersystems-irisgithub.com/­STSSoft/­STSdb4www.vertica.comwww.yugabyte.com
Technical documentationdocs.datomic.comdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsvertica.com/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperCognitectInterSystemsSTS Soft SCOpenText infopreviously Micro Focus and Hewlett PackardYugabyte Inc.
Initial release20122018201120052017
Current release1.0.7075, December 20232023.3, June 20234.0.8, September 201512.0.3, January 20232.19, September 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoGPLv2, commercial license availablecommercial infoLimited community edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJava, ClojureC#C++C and C++
Server operating systemsAll OS with a Java VMAIX
Linux
macOS
Ubuntu
Windows
WindowsLinuxLinux
OS X
Data schemeyesdepending on used data modelyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.depending on used data model
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yesyes
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.noyesnono
Secondary indexesyesyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLnoyesnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
.NET Client APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
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++
Java
JavaScript (Node.js)
Python
C#
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnoyes, PostgreSQL PL/pgSQL, with minor differencesyes infosql, plpgsql, C
TriggersBy using transaction functionsyesnoyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonehorizontal partitioning, hierarchical partitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnono
User concepts infoAccess controlnoyesnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashyes
More information provided by the system vendor
DatomicInterSystems IRISSTSdbVertica infoOpenText™ Vertica™YugabyteDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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YugabyteDB is an open source distributed SQL database for cloud native transactional...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Systems of record and engagement for cloud native applications that require resilience,...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more
Apache 2.0 license for the database
» more

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DatomicInterSystems IRISSTSdbVertica infoOpenText™ Vertica™YugabyteDB
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