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DBMS > Apache Kylin vs. CockroachDB vs. Google Cloud Bigtable vs. Hazelcast vs. STSdb

System Properties Comparison Apache Kylin vs. CockroachDB vs. Google Cloud Bigtable vs. Hazelcast vs. STSdb

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCockroachDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A widely adopted in-memory data gridKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Key-value storeKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitekylin.apache.orgwww.cockroachlabs.comcloud.google.com/­bigtablehazelcast.comgithub.com/­STSSoft/­STSdb4
Technical documentationkylin.apache.org/­docswww.cockroachlabs.com/­docscloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncCockroach LabsGoogleHazelcastSTS Soft SC
Initial release20152015201520082011
Current release3.1.0, July 202024.1.0, May 20245.3.6, November 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC#
Server operating systemsLinuxLinux
macOS
Windows
hostedAll OS with a Java VMWindows
Data schemeyesdynamic schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes infoprimitive types and user defined types (classes)
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes, wire compatible with PostgreSQLnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor Servicesno
Triggersnonoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsone or two-phase-commit; repeatable reads; read commitedno
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.nononoyes
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlno

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More resources
Apache KylinCockroachDBGoogle Cloud BigtableHazelcastSTSdb
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