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DBMS > Atos Standard Common Repository vs. Ehcache vs. QuestDB vs. Sqrrl

System Properties Comparison Atos Standard Common Repository vs. Ehcache vs. QuestDB vs. Sqrrl

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEhcache  Xexclude from comparisonQuestDB  Xexclude from comparisonSqrrl  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA widely adopted Java cache with tiered storage optionsA high performance open source SQL database for time series dataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Key-value store
Key-value storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orgquestdb.iosqrrl.com
Technical documentationwww.ehcache.org/­documentationquestdb.io/­docs
DeveloperAtos Convergence CreatorsTerracotta Inc, owned by Software AGQuestDB Technology IncAmazon infooriginally Sqrrl Data, Inc.
Initial release2016200920142012
Current release17033.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen 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 (Zero-GC), C++, RustJava
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnono
Secondary indexesyesnonoyes
SQL infoSupport of SQLnonoSQL with time-series extensionsno
APIs and other access methodsLDAPJCacheHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAll languages with LDAP bindingsJavaC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnononono
Triggersyesyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoby using Terracotta Serverhorizontal partitioning (by timestamps)Sharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerSource-replica replication with eventual consistencyselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes infosupports JTA and can work as an XA resourceACID for single-table writesAtomic updates per row, document, or graph entity
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.yesyesyes infothrough memory mapped files
User concepts infoAccess controlLDAP bind authenticationnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
Atos Standard Common RepositoryEhcacheQuestDBSqrrl
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Atos Standard Common RepositoryEhcacheQuestDBSqrrl
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