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DBMS > Fujitsu Enterprise Postgres vs. Microsoft Azure SQL Database vs. Milvus vs. TimescaleDB vs. Tkrzw

System Properties Comparison Fujitsu Enterprise Postgres vs. Microsoft Azure SQL Database vs. Milvus vs. TimescaleDB vs. Tkrzw

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMilvus  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Database as a Service offering with high compatibility to Microsoft SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSVector DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.postgresql.fastware.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasemilvus.iowww.timescale.comdbmx.net/­tkrzw
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.microsoft.com/­en-us/­azure/­azure-sqlmilvus.io/­docs/­overview.mddocs.timescale.com
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMicrosoftTimescaleMikio Hirabayashi
Initial release2010201920172020
Current releaseFujitsu Enterprise Postgres 14, January 2022V122.3.4, January 20242.15.0, May 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageCC++C++, GoCC++
Server operating systemsLinux
Windows
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Linux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.yesnoyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesnoyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsTransact SQLnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with always 3 replicas availableSource-replica replication with hot standby and reads on replicas infonone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rightsfine grained access rights according to SQL-standardno
More information provided by the system vendor
Fujitsu Enterprise PostgresMicrosoft Azure SQL Database infoformerly SQL AzureMilvusTimescaleDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristics100% compatible with community PostgreSQL
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
RAG: 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 metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsCore based licensing
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Fujitsu Enterprise PostgresMicrosoft Azure SQL Database infoformerly SQL AzureMilvusTimescaleDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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