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DBMS > Atos Standard Common Repository vs. Databricks vs. Pinecone vs. QuestDB

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Pinecone vs. QuestDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonPinecone  Xexclude from comparisonQuestDB  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 managed, cloud-native vector databaseA high performance open source SQL database for time series data
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Vector DBMSTime Series 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
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.pinecone.ioquestdb.io
Technical documentationdocs.databricks.comdocs.pinecone.io/­docs/­overviewquestdb.io/­docs
DeveloperAtos Convergence CreatorsDatabricksPinecone Systems, IncQuestDB Technology Inc
Initial release2016201320192014
Current release1703
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, Rust
Server operating systemsLinuxhostedhostedLinux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateoptionalString, Number, Booleanyes
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.yesyesnono
Secondary indexesyesyesno
SQL infoSupport of SQLnowith Databricks SQLnoSQL with time-series extensions
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
PythonC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infothrough memory mapped files
User concepts infoAccess controlLDAP bind authentication
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksPineconeQuestDB
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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