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DBMS > GreptimeDB vs. HEAVY.AI vs. Lovefield vs. Milvus

System Properties Comparison GreptimeDB vs. HEAVY.AI vs. Lovefield vs. Milvus

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelTime Series DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Websitegreptime.comgithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldmilvus.io
Technical documentationdocs.greptime.comdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmilvus.io/­docs/­overview.md
DeveloperGreptime Inc.HEAVY.AI, Inc.Google
Initial release2022201620142019
Current release5.10, January 20222.1.12, February 20172.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageRustC++ and CUDAJavaScriptC++, Go
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesyesSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
Vega
RESTful HTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
All languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonnonono
TriggersnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardnoRole based access control and fine grained access rights
More information provided by the system vendor
GreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldMilvus
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
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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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
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
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
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

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GreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldMilvus
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