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DBMS > Apache Doris vs. Datomic vs. Splice Machine

System Properties Comparison Apache Doris vs. Datomic vs. Splice Machine

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatomic  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.datomic.comsplicemachine.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.datomic.comsplicemachine.com/­how-it-works
DeveloperApache Software Foundation, originally contributed from BaiduCognitectSplice Machine
Initial release201720122014
Current release1.2.2, February 20231.0.7180, July 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureJava
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsJDBC
MySQL client
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaClojure
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoTransaction Functionsyes infoJava
TriggersnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoBut extensive use of caching in the application peersShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DorisDatomicSplice Machine
Recent citations in the news

Breaking Down Data Silos: How Apache Doris Streamlines Customer Data Integration
20 March 2024, hackernoon.com

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

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Machine learning data pipeline outfit Splice Machine files for insolvency
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Monte Zweben's Splice Machine Introduces New Hadoop RDBMS
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Splice Machine Launches Feature Store to Simplify Feature Engineering
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