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DBMS > Atos Standard Common Repository vs. Bangdb vs. GigaSpaces vs. Heroic vs. TigerGraph

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. GigaSpaces vs. Heroic vs. TigerGraph

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHeroic  Xexclude from comparisonTigerGraph  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 networksConverged and high performance database for device data, events, time series, document and graphHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSGraph DBMS
Secondary database modelsSpatial DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.comwww.gigaspaces.comgithub.com/­spotify/­heroicwww.tigergraph.com
Technical documentationdocs.bangdb.comdocs.gigaspaces.com/­latest/­landing.htmlspotify.github.io/­heroicdocs.tigergraph.com
DeveloperAtos Convergence CreatorsSachin Sinha, BangDBGigaspaces TechnologiesSpotify
Initial release20162012200020142017
Current release1703BangDB 2.0, October 202115.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++Java, C++, .NetJavaC++
Server operating systemsLinuxLinuxLinux
macOS
Solaris
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes infovia Elasticsearch
SQL infoSupport of SQLnoSQL like support with command line toolSQL-99 for query and DML statementsnoSQL-like query language (GSQL)
APIs and other access methodsLDAPProprietary protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
Python
.Net
C++
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresnonoyesnoyes
Triggersyesyes, Notifications (with Streaming only)yes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyesnono
User concepts infoAccess controlLDAP bind authenticationyes (enterprise version only)Role-based access controlRole-based access control

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More resources
Atos Standard Common RepositoryBangdbGigaSpacesHeroicTigerGraph
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