DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Redshift vs. Atos Standard Common Repository vs. Ehcache vs. SiriDB vs. XTDB

System Properties Comparison Amazon Redshift vs. Atos Standard Common Repository vs. Ehcache vs. SiriDB vs. XTDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonEhcache  Xexclude from comparisonSiriDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA widely adopted Java cache with tiered storage optionsOpen Source Time Series DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteaws.amazon.com/­redshiftatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orgsiridb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.aws.amazon.com/­redshiftwww.ehcache.org/­documentationdocs.siridb.comwww.xtdb.com/­docs
DeveloperAmazon (based on PostgreSQL)Atos Convergence CreatorsTerracotta Inc, owned by Software AGCesbitJuxt Ltd.
Initial release20122016200920172019
Current release17033.10.0, March 20221.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMIT LicenseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaCClojure
Server operating systemshostedLinuxAll OS with a Java VMLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes infoNumeric datayes, extensible-data-notation format
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.noyesnonono
Secondary indexesrestrictedyesnoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnononolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
LDAPJCacheHTTP APIHTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsJavaC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnononono
Triggersnoyesyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding infoby using Terracotta ServerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoby using Terracotta Serveryesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationnosimple rights management via user accounts

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
Amazon RedshiftAtos Standard Common RepositoryEhcacheSiriDBXTDB infoformerly named Crux
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

Breaking barriers in geospatial: Amazon Redshift, CARTO, and H3 | Amazon Web Services
16 May 2024, AWS Blog

Centrally manage permissions for tables and views accessed from Amazon QuickSight with trusted identity propagation ...
16 May 2024, AWS Blog

Amazon Redshift adds new AI capabilities, including Amazon Q, to boost efficiency and productivity | Amazon Web ...
29 November 2023, AWS Blog

Revolutionizing data querying: Amazon Redshift and Visual Studio Code integration | Amazon Web Services
2 May 2024, AWS Blog

Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK ...
11 March 2024, AWS Blog

provided by Google News

Infographic: What makes a Mobile Operator's setup future proof?
10 February 2024, Atos

provided by Google News

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

DZone Coding Java JBoss 5 to 7 in 11 steps
9 January 2014, dzone.com

provided by Google News



Share this page

Featured Products

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

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

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.

Milvus logo

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

Present your product here