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DBMS > LMDB vs. Microsoft Azure Synapse Analytics vs. Milvus vs. Sphinx vs. WakandaDB

System Properties Comparison LMDB vs. Microsoft Azure Synapse Analytics vs. Milvus vs. Sphinx vs. WakandaDB

Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesOpen source search engine for searching in data from different sources, e.g. relational databasesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeRelational DBMSVector DBMSSearch engineObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#118  Overall
#21  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitewww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analyticsmilvus.iosphinxsearch.comwakanda.github.io
Technical documentationwww.lmdb.tech/­docdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mdsphinxsearch.com/­docswakanda.github.io/­doc
DeveloperSymasMicrosoftSphinx Technologies Inc.Wakanda SAS
Initial release20112016201920012012
Current release0.9.32, January 20242.3.4, January 20243.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPLv3, extended commercial license available
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++, GoC++C++, JavaScript
Server operating systemsLinux
Unix
Windows
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringnoyes
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 indexesnoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnoSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIProprietary protocolRESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresnoTransact SQLnonoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnonenone
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 Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoyesRole based access control and fine grained access rightsnoyes
More information provided by the system vendor
LMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusSphinxWakandaDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
LMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusSphinxWakandaDB
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