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DBMS > Graph Engine vs. InfinityDB vs. jBASE vs. Microsoft Azure Synapse Analytics

System Properties Comparison Graph Engine vs. InfinityDB vs. jBASE vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonInfinityDB  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA Java embedded Key-Value Store which extends the Java Map interfaceA robust multi-value DBMS comprising development tools and middlewareElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelGraph DBMS
Key-value store
Key-value storeMultivalue DBMSRelational 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
Score0.00
Rank#383  Overall
#59  Key-value stores
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Websitewww.graphengine.ioboilerbay.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.graphengine.io/­docs/­manualboilerbay.com/­infinitydb/­manualdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.microsoft.com/­azure/­synapse-analytics
DeveloperMicrosoftBoiler Bay Inc.Rocket Software (formerly Zumasys)Microsoft
Initial release2010200219912016
Current release4.05.7
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC++
Server operating systems.NETAll OS with a Java VMAIX
Linux
Windows
hosted
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysoptionalyes
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 indexesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnonoEmbedded SQL for jBASE in BASICyes
APIs and other access methodsRESTful HTTP APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
Java.Net
Basic
Jabbascript
Java
C#
Java
PHP
Server-side scripts infoStored proceduresyesnoyesTransact SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID
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
User concepts infoAccess controlnoAccess rights can be defined down to the item levelyes

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More resources
Graph Engine infoformer name: TrinityInfinityDBjBASEMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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