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DBMS > Atos Standard Common Repository vs. Geode vs. PlanetScale vs. Qdrant

System Properties Comparison Atos Standard Common Repository vs. Geode vs. PlanetScale vs. Qdrant

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeode  Xexclude from comparisonPlanetScale  Xexclude from comparisonQdrant  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 networksGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesScalable, distributed, serverless MySQL database platform built on top of VitessA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeode.apache.orgplanetscale.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationgeode.apache.org/­docsplanetscale.com/­docsqdrant.tech/­documentation
DeveloperAtos Convergence CreatorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.PlanetScaleQdrant
Initial release2016200220202021
Current release17031.1, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoRust
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredDocker
Linux
macOS
Docker
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesNumbers, Strings, Geo, Boolean
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 infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoSQL-like query language (OQL)yes infowith proprietary extensionsno
APIs and other access methodsLDAPJava Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages with LDAP bindings.Net
All JVM based languages
C++
Groovy
Java
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsyes infoproprietary syntax
Triggersyesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replication
Source-replica replication
Collection-level replication
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 configurationEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency, tunable consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes, on a single nodeACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationAccess rights per client and object definableUsers with fine-grained authorization concept infono user groups or rolesKey-based authentication

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More resources
Atos Standard Common RepositoryGeodePlanetScaleQdrant
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