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DBMS > Aerospike vs. Google Cloud Firestore vs. GridGain vs. Kdb vs. TimescaleDB

System Properties Comparison Aerospike vs. Google Cloud Firestore vs. GridGain vs. Kdb vs. TimescaleDB

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonKdb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.GridGain is an in-memory computing platform, built on Apache IgniteHigh performance Time Series DBMSA 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
Document storeKey-value store
Relational DBMS
Time Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsRelational 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
Score7.36
Rank#53  Overall
#9  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteaerospike.comfirebase.google.com/­products/­firestorewww.gridgain.comkx.comwww.timescale.com
Technical documentationdocs.aerospike.comfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlcode.kx.comdocs.timescale.com
Social network pagesLinkedInTwitterYouTubeFacebook
DeveloperAerospikeGoogleGridGain Systems, Inc.Kx Systems, a division of First Derivatives plcTimescale
Initial release2012201720072000 infokdb was released 2000, kdb+ in 20032017
Current release7.0, November 2023GridGain 8.5.13.6, May 20182.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialcommercialcommercial infofree 32-bit versionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetqC
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, 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.nonoyesyesyes
Secondary indexesyesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLSQL-like query language (q)yes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
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
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infowith Luayes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)user defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes, with Cloud Functionsyes (cache interceptors and events)yes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationyes (replicated cache)Source-replica replicationSource-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/ReduceUsing Cloud Dataflowyes (compute grid and hadoop accelerator)no infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsyesACIDnoACID
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.yesyesyesno
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Security Hooks for custom implementationsrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Aerospike infopreviously called CitrusleafGoogle Cloud FirestoreGridGainKdbTimescaleDB
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
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Integrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
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tick database streaming sensor data massive intelligence applications oil and gas...
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Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
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Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
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kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
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upon request
» more
News

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

Aerospike Achieves the new AWS Advertising and Marketing Technology Competency
30 November 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 CitrusleafGoogle Cloud FirestoreGridGainKdbTimescaleDB
DB-Engines blog posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
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Recent citations in the news

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TimescaleDB Is a Vector Database Now, Too
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Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL
18 March 2019, Microsoft

Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data
22 February 2022, businesswire.com

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

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