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DBMS > CrateDB vs. Ehcache vs. Hawkular Metrics vs. Teradata

System Properties Comparison CrateDB vs. Ehcache vs. Hawkular Metrics vs. Teradata

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonEhcache  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionDistributed Database based on LuceneA 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 hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitecratedb.comwww.ehcache.orgwww.hawkular.orgwww.teradata.com
Technical documentationcratedb.com/­docswww.ehcache.org/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.teradata.com
DeveloperCrateTerracotta Inc, owned by Software AGCommunity supported by Red HatTeradata
Initial release2013200920141984
Current release3.10.0, March 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VMLinux
OS X
Windows
hosted
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynonoyes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JCacheHTTP REST.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
JavaGo
Java
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions (Javascript)nonoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infoCache Event Listenersyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerSharding infobased on CassandraSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyes infoby using Terracotta Serverselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Tunable Consistency (Strong, Eventual, Weak)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.noyesnoyes
User concepts infoAccess controlrights management via user accountsnonofine grained access rights according to SQL-standard

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More resources
CrateDBEhcacheHawkular MetricsTeradata
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