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DBMS > Apache Kylin vs. CrateDB vs. Dgraph vs. InfinityDB

System Properties Comparison Apache Kylin vs. CrateDB vs. Dgraph vs. InfinityDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCrateDB  Xexclude from comparisonDgraph  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 Database based on LuceneDistributed and scalable native Graph DBMSA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Graph DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Websitekylin.apache.orgcratedb.comdgraph.ioboilerbay.com
Technical documentationkylin.apache.org/­docscratedb.com/­docsdgraph.io/­docsboilerbay.com/­infinitydb/­manual
DeveloperApache Software Foundation, originally contributed from eBay IncCrateDgraph Labs, Inc.Boiler Bay Inc.
Initial release2015201320162002
Current release3.1.0, July 20204.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaJavaGoJava
Server operating systemsLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Windows
All OS with a Java VM
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes 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.nononono
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes, but no triggers and constraints, and PostgreSQL compatibilitynono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functions (Javascript)nono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSynchronous replication via Raftnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlrights management via user accountsno infoPlanned for future releasesno
More information provided by the system vendor
Apache KylinCrateDBDgraphInfinityDB
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
Apache KylinCrateDBDgraphInfinityDB
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