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DBMS > Graph Engine vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. QuestDB

System Properties Comparison Graph Engine vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. QuestDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuestDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA multi-model DBMS and application serverElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high performance open source SQL database for time series data
Primary database modelGraph DBMS
Key-value store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
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
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitewww.graphengine.iowww.intersystems.com/­products/­cacheazure.microsoft.com/­services/­synapse-analyticsquestdb.io
Technical documentationwww.graphengine.io/­docs/­manualdocs.intersystems.comdocs.microsoft.com/­azure/­synapse-analyticsquestdb.io/­docs
DeveloperMicrosoftInterSystemsMicrosoftQuestDB Technology Inc
Initial release2010199720162014
Current release2018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC++Java (Zero-GC), C++, Rust
Server operating systems.NETAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
Data schemeyesdepending on used data modelyesyes infoschema-free via InfluxDB Line Protocol
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.noyesnono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesyesSQL with time-series extensions
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
F#
Visual Basic
C#
C++
Java
C#
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesyesTransact SQLno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding, horizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID for single-table writes
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.yesyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and rolesyes
More information provided by the system vendor
Graph Engine infoformer name: TrinityInterSystems CachéMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDB
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More resources
Graph Engine infoformer name: TrinityInterSystems CachéMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDB
Recent citations in the news

Trinity
30 October 2010, Microsoft

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13 February 2017, InfoWorld

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SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

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3 November 2021, TechCrunch

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