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DBMS > Apache Kylin vs. Dgraph vs. Fujitsu Enterprise Postgres vs. InfinityDB

System Properties Comparison Apache Kylin vs. Dgraph vs. Fujitsu Enterprise Postgres vs. InfinityDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDgraph  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonInfinityDB  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 DBMSEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSGraph DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
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
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Websitekylin.apache.orgdgraph.iowww.postgresql.fastware.comboilerbay.com
Technical documentationkylin.apache.org/­docsdgraph.io/­docswww.postgresql.fastware.com/­product-manualsboilerbay.com/­infinitydb/­manual
DeveloperApache Software Foundation, originally contributed from eBay IncDgraph Labs, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyBoiler Bay Inc.
Initial release201520162002
Current release3.1.0, July 2020Fujitsu Enterprise Postgres 14, January 20224.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCJava
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
All OS with a Java VM
Data schemeyesschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyespartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynoyesno infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache KylinDgraphFujitsu Enterprise PostgresInfinityDB
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Apache KylinDgraphFujitsu Enterprise PostgresInfinityDB
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