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DBMS > Milvus vs. SurrealDB vs. Teradata vs. TimescaleDB

System Properties Comparison Milvus vs. SurrealDB vs. Teradata vs. TimescaleDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonSurrealDB  Xexclude from comparisonTeradata  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID transactional, developer-friendly, multi-model DBMSA hybrid cloud data analytics software platform (Teradata Vantage)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelVector DBMSDocument store
Graph DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitemilvus.iosurrealdb.comwww.teradata.comwww.timescale.com
Technical documentationmilvus.io/­docs/­overview.mdsurrealdb.com/­docsdocs.teradata.comdocs.timescale.com
DeveloperSurrealDB LtdTeradataTimescale
Initial release2019202219842017
Current release2.3.4, January 2024v1.5.0, May 2024Teradata Vantage 1.0 MU2, January 20192.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Source infoApache 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 languageC++, GoRustC
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Windows
hosted
Linux
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesyes
Secondary indexesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnoSQL-like query languageyes infoSQL 2016 + extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIGraphQL
RESTful HTTP API
WebSocket
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in paralleluser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole based access control and fine grained access rightsyes, based on authentication and database rulesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusSurrealDBTeradataTimescaleDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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MilvusSurrealDBTeradataTimescaleDB
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