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DBMS > Atos Standard Common Repository vs. DolphinDB vs. Geode vs. Heroic vs. SingleStore

System Properties Comparison Atos Standard Common Repository vs. DolphinDB vs. Geode vs. Heroic vs. SingleStore

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDolphinDB  Xexclude from comparisonGeode  Xexclude from comparisonHeroic  Xexclude from comparisonSingleStore infoformer name was MemSQL  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 networksDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store
Key-value store
Time Series DBMS
Vector DBMS
Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.dolphindb.comgeode.apache.orggithub.com/­spotify/­heroicwww.singlestore.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlgeode.apache.org/­docsspotify.github.io/­heroicdocs.singlestore.com
DeveloperAtos Convergence CreatorsDolphinDB, IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.SpotifySingleStore Inc.
Initial release20162018200220142013
Current release1703v2.00.4, January 20221.1, February 20178.5, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaJavaC++, Go
Server operating systemsLinuxLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux info64 bit version required
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnononono
Secondary indexesyesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (OQL)noyes infobut no triggers and foreign keys
APIs and other access methodsLDAPJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java Client API
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
All JVM based languages
C++
Groovy
Java
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsnoyes
Triggersyesnoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replicationyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlLDAP bind authenticationAdministrators, Users, GroupsAccess rights per client and object definableFine grained access control via users, groups and roles

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More resources
Atos Standard Common RepositoryDolphinDBGeodeHeroicSingleStore infoformer name was MemSQL
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