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DBMS > Atos Standard Common Repository vs. Databend vs. Google Cloud Spanner vs. TigerGraph vs. Transwarp Hippo

System Properties Comparison Atos Standard Common Repository vs. Databend vs. Google Cloud Spanner vs. TigerGraph vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabend  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonTigerGraph  Xexclude from comparisonTranswarp Hippo  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 networksAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.05
Rank#386  Overall
#15  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­datafuselabs/­databend
www.databend.com
cloud.google.com/­spannerwww.tigergraph.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.databend.comcloud.google.com/­spanner/­docsdocs.tigergraph.com
DeveloperAtos Convergence CreatorsDatabend LabsGoogle
Initial release20162021201720172023
Current release17031.0.59, April 20231.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC++C++
Server operating systemsLinuxhosted
Linux
macOS
hostedLinuxLinux
macOS
Data schemeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesVector, Numeric and String
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 indexesyesnoyesno
SQL infoSupport of SQLnoyesyes infoQuery statements complying to ANSI 2011SQL-like query language (GSQL)no
APIs and other access methodsLDAPCLI Client
JDBC
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
C++
Java
C++
Java
Python
Server-side scripts infoStored proceduresnononoyesno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACID infoStrict serializable isolationACIDno
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.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlRole based access control and fine grained access rights

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More resources
Atos Standard Common RepositoryDatabendGoogle Cloud SpannerTigerGraphTranswarp Hippo
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