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DBMS > Aerospike vs. GeoSpock vs. Hawkular Metrics vs. TimescaleDB vs. YottaDB

System Properties Comparison Aerospike vs. GeoSpock vs. Hawkular Metrics vs. TimescaleDB vs. YottaDB

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYottaDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFlash-optimized In-memory NoSQL DatabaseSpatial and temporal data processing engine for extreme data scaleHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast and solid embedded Key-value store
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Vector DBMS
Relational DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsTime Series DBMSRelational DBMSRelational DBMS infousing the Octo plugin
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
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteaerospike.comgeospock.comwww.hawkular.orgwww.timescale.comyottadb.com
Technical documentationdocs.aerospike.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.timescale.comyottadb.com/­resources/­documentation
Social network pagesLinkedInTwitterYouTubeFacebook
DeveloperAerospikeGeoSpockCommunity supported by Red HatTimescaleYottaDB, LLC
Initial release2012201420172001
Current release7.1, May 20242.0, September 20192.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoAGPL 3.0
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.
Implementation languageCJava, JavascriptJavaCC
Server operating systemsLinuxhostedLinux
OS X
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.nononoyesno
Secondary indexesyestemporal, categoricalnoyesno
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noyes infofull PostgreSQL SQL syntaxby using the Octo plugin
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
JDBCHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infowith Luanonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infobased on Cassandrayes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on CassandraSource-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/Reducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsnonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnononoyes
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyAccess rights for users can be defined per tablenofine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms
More information provided by the system vendor
Aerospike infopreviously called CitrusleafGeoSpockHawkular MetricsTimescaleDBYottaDB
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» 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

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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 CitrusleafGeoSpockHawkular MetricsTimescaleDBYottaDB
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

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

Aerospike Raises $109M For Accelerated Database Development, Market Expansion
4 April 2024, CRN

Aerospike, AWS, Google, Glean, and Other Industry Leaders Speaking at Real-time Data Summit 2024
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Aerospike set to grow real time database for AI with $109M raise
4 April 2024, VentureBeat

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20 June 2019, AWS Blog

GeoSpock launches Spatial Big Data Platform 2.0
4 September 2019, VanillaPlus

GeoSpock launches pioneering new spatial Big Data platform
27 February 2019, Geospatial World

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5 June 2019, DevClass

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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

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, Business Wire

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

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