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DBMS > Databend vs. Ehcache vs. OrigoDB vs. Sphinx vs. Teradata Aster

System Properties Comparison Databend vs. Ehcache vs. OrigoDB vs. Sphinx vs. Teradata Aster

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEhcache  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA widely adopted Java cache with tiered storage optionsA fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databasesPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSKey-value storeDocument store
Object oriented DBMS
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.ehcache.orgorigodb.comsphinxsearch.com
Technical documentationdocs.databend.comwww.ehcache.org/­documentationorigodb.com/­docssphinxsearch.com/­docs
DeveloperDatabend LabsTerracotta Inc, owned by Software AGRobert Friberg et alSphinx Technologies Inc.Teradata
Initial release202120092009 infounder the name LiveDB20012005
Current release1.0.59, April 20233.10.0, March 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen SourceOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaC#C++
Server operating systemshosted
Linux
macOS
All OS with a Java VMLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsnoyes
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.nonono infocan be achieved using .NETyes infoin Aster File Store
Secondary indexesnonoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnonoSQL-like query language (SphinxQL)yes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JCache.NET Client API
HTTP API
LINQ
Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Java.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoyesnoR packages
Triggersnoyes infoCache Event Listenersyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta Serverhorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServerSource-replica replicationnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infosupports JTA and can work as an XA resourceACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnoRole based authorizationnofine grained access rights according to SQL-standard

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More resources
DatabendEhcacheOrigoDBSphinxTeradata Aster
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