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DBMS > Atos Standard Common Repository vs. QuestDB vs. Splice Machine vs. Weaviate

System Properties Comparison Atos Standard Common Repository vs. QuestDB vs. Splice Machine vs. Weaviate

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonQuestDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonWeaviate  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 networksA high performance open source SQL database for time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryquestdb.iosplicemachine.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationquestdb.io/­docssplicemachine.com/­how-it-worksweaviate.io/­developers/­weaviate
DeveloperAtos Convergence CreatorsQuestDB Technology IncSplice MachineWeaviate B.V.
Initial release2016201420142019
Current release17033.1, March 20211.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infocommercial license available with Weaviate Enterprise
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 languageJavaJava (Zero-GC), C++, RustJavaGo
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyes infoschema-free via InfluxDB Line Protocolyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateoptionalyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL with time-series extensionsyesGraphQL is used as query language
APIs and other access methodsLDAPHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
Native Spark Datasource
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoyes infoJavano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning (by timestamps)Shared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID for single-table writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyes infothrough memory mapped filesyesyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Atos Standard Common RepositoryQuestDBSplice MachineWeaviate
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
All companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more
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