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DBMS > Atos Standard Common Repository vs. Databricks vs. Dragonfly vs. QuestDB vs. TinkerGraph

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Dragonfly vs. QuestDB vs. TinkerGraph

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonDragonfly  Xexclude from comparisonQuestDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA high performance open source SQL database for time series dataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Key-value storeTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
questdb.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.databricks.comwww.dragonflydb.io/­docsquestdb.io/­docs
DeveloperAtos Convergence CreatorsDatabricksDragonflyDB team and community contributorsQuestDB Technology Inc
Initial release20162013202320142009
Current release17031.0, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSL 1.1Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java (Zero-GC), C++, RustJava
Server operating systemsLinuxhostedLinuxLinux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)scheme-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateoptionalstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.yesyesnonono
Secondary indexesyesyesnonono
SQL infoSupport of SQLnowith Databricks SQLnoSQL with time-series extensionsno
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
TinkerPop 3
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Groovy
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesLuanono
Triggersyespublish/subscribe channels provide some trigger functionalitynono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDAtomic execution of command blocks and scriptsACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infothrough memory mapped filesyes
User concepts infoAccess controlLDAP bind authenticationPassword-based authenticationno
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksDragonflyQuestDBTinkerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Relational 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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