DBMS > Ehcache vs. Sphinx vs. Teradata Aster

System Properties Comparison Ehcache vs. Sphinx vs. Teradata Aster

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Editorial information provided by DB-Engines
Name	Ehcache  Xexclude from comparison	Sphinx  Xexclude from comparison	Teradata Aster  Xexclude from comparison
			Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
Description	A widely adopted Java cache with tiered storage options	Open source search engine for searching in data from different sources, e.g. relational databases	Platform for big data analytics on multistructured data sources and types
Primary database model	Key-value store	Search engine	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 6.54 Rank #64   Overall #8   Key-value stores	Score 7.23 Rank #61   Overall #8   Search engines
Website	www.ehcache.org	sphinxsearch.com
Technical documentation	www.ehcache.org/­documentation	sphinxsearch.com/­docs
Developer	Terracotta Inc, owned by Software AG	Sphinx Technologies Inc.	Teradata
Initial release	2009	2001	2005
Current release	3.9.6, September 2021	3.4.1, July 2021
License Commercial or Open Source	Open Source Apache Version 2; commercial licenses available	Open Source GPL version 2, commercial licence available	commercial
Cloud-based only Only available as a cloud service	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++
Server operating systems	All OS with a Java VM	FreeBSD Linux NetBSD OS X Solaris Windows	Linux
Data scheme	schema-free	yes	Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store
Typing predefined data types such as float or date	yes	no	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no		yes in Aster File Store
Secondary indexes	no	yes full-text index on all search fields	yes
SQL Support of SQL	no	SQL-like query language (SphinxQL)	yes
APIs and other access methods	JCache	Proprietary protocol	ADO.NET JDBC ODBC OLE DB
Supported programming languages	Java	C++ unofficial client library Java Perl unofficial client library PHP Python Ruby unofficial client library	C C# C++ Java Python R
Server-side scripts Stored procedures	no	no	R packages
Triggers	yes Cache Event Listeners	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding by using Terracotta Server	Sharding Partitioning is done manually, search queries against distributed index is supported	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes by using Terracotta Server	none	yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	yes SQL Map-Reduce Framework
Consistency concepts Methods to ensure consistency in a distributed system	Tunable Consistency (Strong, Eventual, Weak)		Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes supports JTA and can work as an XA resource	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes using a tiered cache-storage approach	yes The original contents of fields are not stored in the Sphinx index.	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		no
User concepts Access control	no	no	fine grained access rights according to SQL-standard
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	Ehcache	Sphinx	Teradata Aster
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