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DBMS > Aerospike vs. GridDB vs. MarkLogic vs. TimescaleDB

System Properties Comparison Aerospike vs. GridDB vs. MarkLogic vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonGridDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseScalable in-memory time series database optimized for IoT and Big DataOperational and transactional Enterprise NoSQL databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Time Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.10
Rank#59  Overall
#11  Document stores
#3  Graph DBMS
#7  Key-value stores
#2  Spatial DBMS
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websiteaerospike.comgriddb.netwww.marklogic.comwww.timescale.com
Technical documentationdocs.aerospike.comdocs.griddb.netdocs.marklogic.comdocs.timescale.com
Social network pagesLinkedInTwitterFacebookYouTube
DeveloperAerospikeToshiba CorporationMarkLogic Corp.Timescale
Initial release2012201320012017
Current release7.0, November 20235.1, August 202211.0, December 20222.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial inforestricted free version is availableOpen 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.
Implementation languageCC++C++C
Server operating systemsLinuxLinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesnumerics, 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.nonoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)yes infoSQL92yes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infowith Luanoyes infovia XQuery or JavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/ReduceConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsACID at container levelACID infocan act as a resource manager in an XA/JTA transactionACID
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.yesyesyes, with Range Indexesno
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyAccess rights for users can be defined per databaseRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard
More information provided by the system vendor
Aerospike infopreviously called CitrusleafGridDBMarkLogicTimescaleDB
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
GitHub trending repository
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
News

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4 April 2024

Aerospike Achieves the new AWS Advertising and Marketing Technology Competency
30 November 2023

Aerospike Showcases New Levels of Database Performance, Price, and Sustainability on Graviton3 at AWS re:Invent
28 November 2023

Aerospike Database 7 Delivers Enterprise Resiliency, Scale, and Speed to In-memory Database Workloads
15 November 2023

Aerospike Listed as Sample Vendor in Gartner® Hype Cycle™ for Data Management, 2023
24 October 2023

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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
Aerospike infopreviously called CitrusleafGridDBMarkLogicTimescaleDB
DB-Engines blog posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
17 March 2020,  Srini Srinivasan, Aerospike (sponsor) 

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Recent citations in the news

Aerospike raises $109M for its real-time database platform to capitalize on the AI boom
4 April 2024, TechCrunch

Aerospike set to grow real time database for AI with $109M raise
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Aerospike reels in $109M to accelerate its high-speed database
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Aerospike raises $114M to fuel database innovation for GenAI
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16 May 2023, global.toshiba

Toshiba launches cloudy managed IoT database service running its own GridDB
8 April 2021, The Register

Toshiba's Distributed Database GridDB(R) Now Features Scale-Out and Scale-Up combo for Petabyte-scale Data ...
3 December 2019, global.toshiba

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

Timescale Acquires PopSQL to Bring a Modern, Collaborative SQL GUI to PostgreSQL Developers
4 April 2024, PR Newswire

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
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