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DBMS > Apache Kylin vs. Dgraph vs. GigaSpaces vs. InfinityDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Kylin vs. Dgraph vs. GigaSpaces vs. InfinityDB vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDgraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDistributed and scalable native Graph DBMSHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA Java embedded Key-Value Store which extends the Java Map interfaceElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSGraph DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitekylin.apache.orgdgraph.iowww.gigaspaces.comboilerbay.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationkylin.apache.org/­docsdgraph.io/­docsdocs.gigaspaces.com/­latest/­landing.htmlboilerbay.com/­infinitydb/­manualdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation, originally contributed from eBay IncDgraph Labs, Inc.Gigaspaces TechnologiesBoiler Bay Inc.Microsoft
Initial release20152016200020022016
Current release3.1.0, July 202015.5, September 20204.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, C++, .NetJavaC++
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Solaris
Windows
All OS with a Java VMhosted
Data schemeyesschema-freeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nonono infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL-99 for query and DML statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
JavaC#
Java
PHP
Server-side scripts infoStored proceduresnoyesnoTransact SQL
Triggersnoyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityno 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 dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
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.noyesno
User concepts infoAccess controlno infoPlanned for future releasesRole-based access controlnoyes

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More resources
Apache KylinDgraphGigaSpacesInfinityDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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