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DBMS > Coveo vs. Databricks vs. Ehcache vs. TimescaleDB

System Properties Comparison Coveo vs. Databricks vs. Ehcache vs. TimescaleDB

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A widely adopted Java cache with tiered storage optionsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineDocument store
Relational DBMS
Key-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.14
Rank#116  Overall
#11  Search engines
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitewww.coveo.comwww.databricks.comwww.ehcache.orgwww.timescale.com
Technical documentationdocs.coveo.comdocs.databricks.comwww.ehcache.org/­documentationdocs.timescale.com
DeveloperCoveoDatabricksTerracotta Inc, owned by Software AGTimescale
Initial release2012201320092017
Current release3.10.0, March 20222.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedhostedAll OS with a Java VMLinux
OS X
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesnumerics, 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.noyesnoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnowith Databricks SQLnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Java
JavaScript
Python
Python
R
Scala
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoby using Terracotta Serveryes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoby using Terracotta ServerSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlgranular access controls, API key management, content filtersnofine grained access rights according to SQL-standard
More information provided by the system vendor
CoveoDatabricksEhcacheTimescaleDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
CoveoDatabricksEhcacheTimescaleDB
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