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DBMS > AllegroGraph vs. Atos Standard Common Repository vs. etcd vs. eXtremeDB vs. QuestDB

System Properties Comparison AllegroGraph vs. Atos Standard Common Repository vs. etcd vs. eXtremeDB vs. QuestDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonQuestDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringA high performance open source SQL database for time series data
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document store
Key-value store
Key-value storeRelational DBMS
Time Series DBMS
Time Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#156  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score10.32
Rank#46  Overall
#5  Key-value stores
Score0.71
Rank#208  Overall
#102  Relational DBMS
#14  Time Series DBMS
Score0.61
Rank#222  Overall
#15  Time Series DBMS
Websiteallegrograph.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
www.mcobject.com/­extremedbfamilyquestdb.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmquestdb.io/­docs/­introduction
DeveloperFranz Inc.Atos Convergence CreatorsMcObjectQuestDB Limited
Initial release2004201620012014
Current release7.0.0, April 202017033.4, August 20198.2, November 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
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 languageJavaGoC and C++Java
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Windows
Data schemeyes infoRDF schemasSchema and schema-less with LDAP viewsschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.no infobulk load of XML files possibleyesnono infosupport of XML interfaces availableno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSPARQL is used as query languagenonoyes infowith the option: eXtremeSQLSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
LDAPgRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonoyesno
Triggersyesyesyes, watching key changesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infocell divisionhorizontal partitioning / shardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Configurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes infothrough memory mapped files
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationLDAP bind authenticationno
More information provided by the system vendor
AllegroGraphAtos Standard Common RepositoryetcdeXtremeDBQuestDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Relational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Real-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Apache 2.0.
» more
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