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DBMS > Apache Druid vs. Coveo vs. Datastax Enterprise vs. GridDB vs. TimescaleDB

System Properties Comparison Apache Druid vs. Coveo vs. Datastax Enterprise vs. GridDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCoveo  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonGridDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Scalable in-memory time series database optimized for IoT and Big DataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Search engineWide column storeTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score5.93
Rank#56  Overall
#4  Wide column stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitedruid.apache.orgwww.coveo.comwww.datastax.com/­products/­datastax-enterprisegriddb.netwww.timescale.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.coveo.comdocs.datastax.comdocs.griddb.netdocs.timescale.com
DeveloperApache Software Foundation and contributorsCoveoDataStaxToshiba CorporationTimescale
Initial release20122012201120132017
Current release29.0.1, April 20246.8, April 20205.1, August 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0
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.
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Implementation languageJavaJavaC++C
Server operating systemsLinux
OS X
Unix
hostedLinux
OS X
LinuxLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedhybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestampnumerics, 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.nonononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingnoSQL-like DML and DDL statements (CQL); Spark SQLSQL92, SQL-like TQL (Toshiba Query Language)yes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
JavaScript
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
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 proceduresnonononouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesSharding infono "single point of failure"Shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infoAtomicity and isolation are supported for single operationsACID at container levelACID
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.noyesyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemgranular access controls, API key management, content filtersAccess rights for users can be defined per objectAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidCoveoDatastax EnterpriseGridDBTimescaleDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
GitHub trending repository
» more
Licensing and pricing modelsAnnual subscription
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Apache DruidCoveoDatastax EnterpriseGridDBTimescaleDB
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