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DBMS > Coveo vs. Drizzle vs. FatDB vs. GigaSpaces vs. TimescaleDB

System Properties Comparison Coveo vs. Drizzle vs. FatDB vs. GigaSpaces vs. TimescaleDB

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDrizzle  Xexclude from comparisonFatDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A .NET NoSQL DBMS that can integrate with and extend SQL Server.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineRelational DBMSDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.coveo.comwww.gigaspaces.comwww.timescale.com
Technical documentationdocs.coveo.comdocs.gigaspaces.com/­latest/­landing.htmldocs.timescale.com
DeveloperCoveoDrizzle project, originally started by Brian AkerFatCloudGigaspaces TechnologiesTimescale
Initial release20122008201220002017
Current release7.2.4, September 201215.5, September 20202.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#Java, C++, .NetC
Server operating systemshostedFreeBSD
Linux
OS X
WindowsLinux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeschema-freeyes
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.nono infoXML can be used for describing objects metadatayes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsno infoVia inetgration in SQL ServerSQL-99 for query and DML statementsyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Java
PHP
C#.Net
C++
Java
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infovia applicationsyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesno infohooks for callbacks inside the server can be used.yes infovia applicationsyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDACID
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.yesno
User concepts infoAccess controlgranular access controls, API key management, content filtersPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applicationsRole-based access controlfine grained access rights according to SQL-standard

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More resources
CoveoDrizzleFatDBGigaSpacesTimescaleDB
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