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DBMS > Coveo vs. Hawkular Metrics vs. HBase vs. Teradata

System Properties Comparison Coveo vs. Hawkular Metrics vs. HBase vs. Teradata

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTableA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineTime Series DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.coveo.comwww.hawkular.orghbase.apache.orgwww.teradata.com
Technical documentationdocs.coveo.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmldocs.teradata.com
DeveloperCoveoCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetTeradata
Initial release2012201420081984
Current release2.3.4, January 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
hosted
Linux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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.nononoyes
Secondary indexesyesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP APIHTTP RESTJava API
RESTful HTTP API
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
Java
JavaScript
Python
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javayes infoUDFs, stored procedures, table functions in parallel
Triggersyesyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infobased on CassandraShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
CoveoHawkular MetricsHBaseTeradata
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