DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Couchbase vs. LMDB vs. Microsoft Azure Synapse Analytics vs. TimescaleDB

System Properties Comparison Couchbase vs. LMDB vs. Microsoft Azure Synapse Analytics vs. TimescaleDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameCouchbase infoOriginally called Membase  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseA high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.15
Rank#36  Overall
#5  Document stores
Score2.62
Rank#117  Overall
#21  Key-value stores
Score23.95
Rank#30  Overall
#18  Relational DBMS
Score5.33
Rank#72  Overall
#4  Time Series DBMS
Websitewww.couchbase.comwww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analyticswww.timescale.com
Technical documentationdocs.couchbase.comwww.lmdb.tech/­docdocs.microsoft.com/­azure/­synapse-analyticsdocs.timescale.com
DeveloperCouchbase, Inc.SymasMicrosoftTimescale
Initial release2011201120162017
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20230.9.32, January 20242.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, Go and ErlangCC++C
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, 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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesnoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsCLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
.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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresFunctions and timers in JavaScript and UDFs in Java, Python, SQL++noTransact SQLuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia the TAP protocolnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic ShardingnoneSharding, horizontal partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoincluding cross data center replication
Source-replica replication
noneyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yes infoEphemeral bucketsyesno
User concepts infoAccess controlUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.noyesfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Couchbase infoOriginally called MembaseLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTimescaleDB
DB-Engines blog posts

Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month
2 June 2014, Matthias Gelbmann

show all

Recent citations in the news

Couchbase, Inc. (NASDAQ:BASE) SVP Sells $310254.99 in Stock
27 March 2024, Defense World

Insider Sell: Couchbase Inc (BASE) SVP & Chief Revenue Officer Huw Owen Disposes of Shares
26 March 2024, Yahoo Finance

Couchbase executive sells over $123k in company stock By Investing.com
25 March 2024, Investing.com

Couchbase, Inc. (NASDAQ:BASE) SVP Huw Owen Sells 11,581 Shares
26 March 2024, MarketBeat

Couchbase Server and Capella to gain vector support
1 March 2024, InfoWorld

provided by Google News

Threat Actors Exploit Multiple Vulnerabilities in Ivanti Connect Secure and Policy Secure Gateways
29 February 2024, CISA

Automating SAP S/4HANA Migration with IT-Conductor, BGP Managed Services, and AWS | Amazon Web Services
22 August 2023, AWS Blog

The Lightning Memory-mapped Database
2 March 2016, InfoQ.com

Akamai launches managed database service – Blocks and Files
25 April 2022, Blocks & Files

Re-Checking Your Pulse: Updates on Chinese APT Actors Compromising Pulse Secure VPN Devices
27 May 2021, Mandiant

provided by Google News

Azure Synapse vs. Databricks: Data Platform Comparison 2024
26 March 2024, eWeek

Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates
23 March 2024, azure.microsoft.com

Neo4j, Microsoft add graph features to Azure AI services
26 March 2024, SiliconANGLE News

Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services
18 October 2023, AWS Blog

Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform
24 September 2023, DataScientest

provided by Google News

TimescaleDB Is a Vector Database Now, Too
25 September 2023, Datanami

Timescale Launches Dynamic PostgreSQL, the Cost-Effective Alternative to Serverless and Peak-Allocation Pay Models
6 November 2023, PR Newswire

Timescale Introduces Dynamic PostgreSQL, an Alternative to Serverless Databases
19 November 2023, InfoQ.com

Visualizing IoT Data at Scale With Hopara and TimescaleDB
16 May 2023, Embedded Computing Design

Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL
18 March 2019, azure.microsoft.com

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here