DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > BaseX vs. Ehcache vs. Teradata vs. TimescaleDB

System Properties Comparison BaseX vs. Ehcache vs. Teradata vs. TimescaleDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonEhcache  Xexclude from comparisonTeradata  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A widely adopted Java cache with tiered storage optionsA hybrid cloud data analytics software platform (Teradata Vantage)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelNative XML DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.56
Rank#141  Overall
#4  Native XML DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitebasex.orgwww.ehcache.orgwww.teradata.comwww.timescale.com
Technical documentationdocs.basex.orgwww.ehcache.org/­documentationdocs.teradata.comdocs.timescale.com
DeveloperBaseX GmbHTerracotta Inc, owned by Software AGTeradataTimescale
Initial release2007200919842017
Current release11.2, August 20243.10.0, March 2022Teradata Vantage 1.0 MU2, January 20192.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0
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 languageJavaJavaC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhosted
Linux
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesnumerics, 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.noyesyes
Secondary indexesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnonoyes infoSQL 2016 + extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JCache.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
JavaC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoyes infoUDFs, stored procedures, table functions in paralleluser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia eventsyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding infoHashingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServerMulti-source replication
Source-replica replication
Source-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 systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writeryes infosupports JTA and can work as an XA resourceACIDACID
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.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BaseXEhcacheTeradataTimescaleDB
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

show all

Recent citations in the news

XML Injection Attacks: What to Know About XPath, XQuery, XXE & More
18 May 2022, Hashed Out by The SSL Store™

9 Skills You Need to Become a Data Engineer
2 November 2022, KDnuggets

provided by Google News

Jira Data Center user? Here's a critical Ehcache vulnerability to spoil your day
22 July 2021, The Register

Atlassian asks customers to patch critical Jira vulnerability
22 July 2021, BleepingComputer

Critical Jira Flaw in Atlassian Could Lead to RCE
22 July 2021, Threatpost

How to partition Sonatype Nexus Repository: Targets, privileges, and roles
9 February 2010, Sonatype Blog

Implementing fallback with cached data
8 October 2018, O'Reilly Media

provided by Google News

Teradata wants you to think differently about data and innovation – and take inspiration from the likes of Shazam
17 September 2024, ITPro

Teradata: Award-Winning Tech Firm Has Capital Gains Potential At Undervalued Price (NYSE:TDC)
20 September 2024, Seeking Alpha

Teradata’s ClearScape Analytics Enhancements Will Speed up AI Projects & Lower Costs
18 September 2024, insideBIGDATA

Teradata ClearScape Analytics update targets ROI on AI, ML
17 September 2024, TechTarget

Analytics and Data Science News for the Week of September 20; Updates from Firebolt, Qrvey, Teradata & More
20 September 2024, Solutions Review

provided by Google News

General availability: Latest version of the TimeScaleDB extension on Azure Database for PostgreSQL - Flexible Server
8 May 2024, Microsoft

Timescale Acquires PopSQL to Bring a Modern, Collaborative SQL GUI to PostgreSQL Developers
4 April 2024, PR Newswire

TimescaleDB Is a Vector Database Now, Too
25 September 2023, Datanami

PostgreSQL is Now Faster than Pinecone, 75% Cheaper, with New Open Source Extensions
11 June 2024, PR Newswire

Understanding Hyperfunctions in TimescaleDB
11 August 2021, CDOTrends

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here