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DBMS > GreptimeDB vs. Milvus vs. SingleStore

System Properties Comparison GreptimeDB vs. Milvus vs. SingleStore

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonMilvus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA DBMS designed for efficient storage of vector data and vector similarity searchesMySQL 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 modelTime Series DBMSVector 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
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitegreptime.commilvus.iowww.singlestore.com
Technical documentationdocs.greptime.commilvus.io/­docs/­overview.mddocs.singlestore.com
DeveloperGreptime Inc.SingleStore Inc.
Initial release202220192013
Current release2.3.4, January 20248.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for MilvusSingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageRustC++, GoC++, Go
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux info64 bit version required
Data schemeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoyes infobut no triggers and foreign keys
APIs and other access methodsgRPC
HTTP API
JDBC
RESTful HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C++
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-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 ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes 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.yesyes
User concepts infoAccess controlSimple rights management via user accountsRole based access control and fine grained access rightsFine grained access control via users, groups and roles
More information provided by the system vendor
GreptimeDBMilvusSingleStore infoformer name was MemSQL
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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Milvus is an open-source and cloud-native vector database built for production-ready...
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SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Highly available, versatile, and robust with millisecond latency. Supports batch...
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SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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RAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
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As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Customers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
F ree Tier and Enterprise Edition
» more

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