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DBMS > Graph Engine vs. Microsoft Azure Synapse Analytics vs. openGauss vs. ScyllaDB

System Properties Comparison Graph Engine vs. Microsoft Azure Synapse Analytics vs. openGauss vs. ScyllaDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonopenGauss  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiCassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitewww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticsgitee.com/­opengauss
opengauss.org
www.scylladb.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.scylladb.com
DeveloperMicrosoftMicrosoftHuawei and openGauss communityScyllaDB
Initial release2010201620192015
Current release3.0, March 2022ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen SourceOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation language.NET and CC++C, C++, JavaC++
Server operating systems.NEThostedLinuxLinux
Data schemeyesyesyesschema-free
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.nononono
Secondary indexesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoyesANSI SQL 2011SQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
C++
F#
Visual Basic
C#
Java
PHP
C
C++
Java
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
Server-side scripts infoStored proceduresyesTransact SQLyesyes, Lua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioninghorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoin-memory tables
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
Graph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseopenGaussScyllaDB
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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More resources
Graph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseopenGaussScyllaDB
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