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DBMS > Apache Kylin vs. Google Cloud Datastore vs. HEAVY.AI vs. Snowflake vs. XTDB

System Properties Comparison Apache Kylin vs. Google Cloud Datastore vs. HEAVY.AI vs. Snowflake vs. XTDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSnowflake  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareCloud-based data warehousing service for structured and semi-structured dataA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#175  Overall
#81  Relational DBMS
Score4.87
Rank#78  Overall
#12  Document stores
Score2.30
Rank#127  Overall
#60  Relational DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Score0.16
Rank#336  Overall
#48  Document stores
Websitekylin.apache.orgcloud.google.com/­datastoregithub.com/­heavyai/­heavydb
www.heavy.ai
www.snowflake.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationkylin.apache.org/­docscloud.google.com/­datastore/­docsdocs.heavy.aidocs.snowflake.net/­manuals/­index.htmlwww.xtdb.com/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncGoogleHEAVY.AI, Inc.Snowflake Computing Inc.Juxt Ltd.
Initial release20152008201620142019
Current release3.1.0, July 20205.10, January 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAClojure
Server operating systemsLinuxhostedLinuxhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes, extensible-data-notation format
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.nononoyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query language (GQL)yesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
CLI Client
JDBC
ODBC
HTTP REST
JDBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresusing Google App Enginenouser defined functionsno
TriggersCallbacks using the Google Apps Enginenono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replicationyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Apache KylinGoogle Cloud DatastoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SnowflakeXTDB infoformerly named Crux
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