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DBMS > AntDB vs. Apache Doris vs. Prometheus vs. SingleStore

System Properties Comparison AntDB vs. Apache Doris vs. Prometheus vs. SingleStore

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonApache Doris  Xexclude from comparisonPrometheus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleAn MPP-based analytics DBMS embracing the MySQL protocolOpen-source Time Series DBMS and monitoring systemMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#342  Overall
#149  Relational DBMS
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmldoris.apache.org
github.com/­apache/­doris
prometheus.iowww.singlestore.com
Technical documentationgithub.com/­apache/­doris/­wikiprometheus.io/­docsdocs.singlestore.com
DeveloperAsiaInfo Technologies LimitedApache Software Foundation, originally contributed from BaiduSingleStore Inc.
Initial release201720152013
Current release1.2.2, February 20238.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++, Go
Server operating systemsLinuxLinux
Windows
Linux info64 bit version required
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL2016 compliantyesnoyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
JDBC
MySQL client
RESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJava.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby FederationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoFine grained access control via users, groups and roles

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More resources
AntDBApache DorisPrometheusSingleStore infoformer name was MemSQL
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023,  Bei Mo, AntDB (sponsor) 

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Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

Migrating from ClickHouse to Apache Doris: Boosting OLAP Performance
9 October 2023, hackernoon.com

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

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1 September 2023, KDnuggets

Apache Doris Analytical Database Graduates from Apache Incubator
20 June 2022, Datanami

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VTEX scales to 150 million metrics using Amazon Managed Service for Prometheus
10 March 2024, AWS Blog

Consider Grafana vs. Prometheus for your time-series tools
18 October 2021, TechTarget

My Prometheus is Overwhelmed! Help!
24 July 2021, hackernoon.com

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SingleStore Partners With Snowflake to Help Users Build Faster, More Efficient Real Time AI Applications
19 September 2024, businesswire.com

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

Achieve near real-time analytics on Amazon DynamoDB with SingleStore
16 September 2024, AWS Blog

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SingleStore: We do vectors and you don’t need knowledge graphs
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