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

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

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonHawkular Metrics  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 optionsHawkular 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 PostgreSQL
Primary database modelSearch engineDocument store
Relational DBMS
Key-value storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.coveo.comwww.databricks.comwww.ehcache.orgwww.hawkular.orgwww.timescale.com
Technical documentationdocs.coveo.comdocs.databricks.comwww.ehcache.org/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.timescale.com
DeveloperCoveoDatabricksTerracotta Inc, owned by Software AGCommunity supported by Red HatTimescale
Initial release20122013200920142017
Current release3.10.0, March 20222.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemshostedhostedAll OS with a Java VMLinux
OS X
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-configurationFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, 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.noyesnonoyes
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnowith Databricks SQLnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JCacheHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Java
JavaScript
Python
Python
R
Scala
JavaGo
Java
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnonouser 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 infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoby using Terracotta ServerSharding infobased on Cassandrayes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoby using Terracotta Serverselectable replication factor infobased on CassandraSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlgranular access controls, API key management, content filtersnonofine grained access rights according to SQL-standard
More information provided by the system vendor
CoveoDatabricksEhcacheHawkular MetricsTimescaleDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CoveoDatabricksEhcacheHawkular MetricsTimescaleDB
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