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DBMS > Aerospike vs. EsgynDB vs. GridDB vs. HEAVY.AI vs. SpatiaLite

System Properties Comparison Aerospike vs. EsgynDB vs. GridDB vs. HEAVY.AI vs. SpatiaLite

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonEsgynDB  Xexclude from comparisonGridDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable in-memory time series database optimized for IoT and Big DataA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSpatial extension of SQLite
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Vector DBMS
Relational DBMSTime Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.51
Rank#60  Overall
#10  Document stores
#3  Graph DBMS
#6  Key-value stores
#2  Spatial DBMS
#2  Vector DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websiteaerospike.comwww.esgyn.cngriddb.netgithub.com/­heavyai/­heavydb
www.heavy.ai
www.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.aerospike.comdocs.griddb.netdocs.heavy.aiwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
Social network pagesLinkedInTwitterYouTubeFacebook
DeveloperAerospikeEsgynToshiba CorporationHEAVY.AI, Inc.Alessandro Furieri
Initial release20122015201320162008
Current release7.1, May 20245.1, August 20225.10, January 20225.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaC++C++ and CUDAC++
Server operating systemsLinuxLinuxLinuxLinuxserver-less
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nonononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyesSQL92, SQL-like TQL (Toshiba Query Language)yesyes
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions infowith LuaJava Stored Proceduresnonono
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/ReduceyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsACIDACID at container levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesyesyes
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyfine grained access rights according to SQL-standardAccess rights for users can be defined per databasefine grained access rights according to SQL-standardno
More information provided by the system vendor
Aerospike infopreviously called CitrusleafEsgynDBGridDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SpatiaLite
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, AWS, Google, Glean, and other Industry Leaders Speaking at Real-time Data Summit 2024
5 June 2024

Aerospike a Winner in 2024 Business Sustainability Awards
22 May 2024

New Aerospike Release Lets Enterprises Consolidate Expensive Legacy Cache And Database Platforms
15 May 2024

Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report
7 May 2024

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

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.

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More resources
Aerospike infopreviously called CitrusleafEsgynDBGridDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SpatiaLite
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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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

The real-time data imperative: Examining demands in the gen AI era
12 June 2024, SiliconANGLE News

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

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Aerospike, AWS, Google, Glean, and Other Industry Leaders Speaking at Real-time Data Summit 2024
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16 May 2023, global.toshiba

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1 November 2020, global.toshiba

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19 August 2022, global.toshiba

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