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DBMS > gStore vs. ScyllaDB vs. Teradata vs. TerminusDB

System Properties Comparison gStore vs. ScyllaDB vs. Teradata vs. TerminusDB

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Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonScyllaDB  Xexclude from comparisonTeradata  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.Cassandra and DynamoDB compatible wide column storeA hybrid cloud data analytics software platform (Teradata Vantage)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelGraph DBMS
RDF store
Wide column storeRelational DBMSGraph DBMS
Secondary database modelsKey-value storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#367  Overall
#37  Graph DBMS
#18  RDF stores
Score4.15
Rank#69  Overall
#5  Wide column stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websiteen.gstore.cnwww.scylladb.comwww.teradata.comterminusdb.com
Technical documentationen.gstore.cn/­#/­enDocsdocs.scylladb.comdocs.teradata.comterminusdb.github.io/­terminusdb/­#
DeveloperScyllaDBTeradataDataChemist Ltd.
Initial release2016201519842018
Current release1.2, November 2023ScyllaDB Open Source 6.0.2, July 2024Teradata Vantage 1.0 MU2, January 201911.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoOpen Source (AGPL), commercial license availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++C++Prolog, Rust
Server operating systemsLinuxLinuxhosted
Linux
Linux
Data schemeschema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyes infocluster global secondary indicesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL)yes infoSQL 2016 + extensionsSQL-like query language (WOQL)
APIs and other access methodsHTTP API
SPARQL 1.1
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresyesyes, Luayes infoUDFs, stored procedures, table functions in parallelyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tablesyes
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportedAccess rights for users can be defined per objectfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
gStoreScyllaDBTeradataTerminusDB infoformer name was DataChemist
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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gStoreScyllaDBTeradataTerminusDB infoformer name was DataChemist
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