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DBMS > Atos Standard Common Repository vs. Brytlyt vs. GBase vs. Hazelcast vs. HugeGraph

System Properties Comparison Atos Standard Common Repository vs. Brytlyt vs. GBase vs. Hazelcast vs. HugeGraph

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonGBase  Xexclude from comparisonHazelcast  Xexclude from comparisonHugeGraph  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 networksScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMS
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSKey-value storeGraph DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.iowww.gbase.cnhazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.brytlyt.iohazelcast.org/­imdg/­docshugegraph.apache.org/­docs
DeveloperAtos Convergence CreatorsBrytlytGeneral Data Technology Co., Ltd.HazelcastBaidu
Initial release20162016200420082018
Current release17035.0, August 2023GBase 8a, GBase 8s, GBase 8c5.3.6, November 20230.9
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0
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++ and CUDAC, Java, PythonJavaJava
Server operating systemsLinuxLinux
OS X
Windows
LinuxAll OS with a Java VMLinux
macOS
Unix
Data schemeSchema and schema-less with LDAP viewsyesyesschema-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.yesyes infospecific XML-type available, but no XML query functionality.yesyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoyesStandard with numerous extensionsSQL-like query languageno
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLuser defined functionsyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobs
Triggersyesyesyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning (by range, list and hash) and vertical partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesyes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynoyesyesnoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardyesRole-based access controlUsers, roles and permissions

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Atos Standard Common RepositoryBrytlytGBaseHazelcastHugeGraph
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