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DBMS > Google Cloud Bigtable vs. LeanXcale vs. Oracle NoSQL vs. Sadas Engine vs. SiriDB

System Properties Comparison Google Cloud Bigtable vs. LeanXcale vs. Oracle NoSQL vs. Sadas Engine vs. SiriDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen Source Time Series DBMS
Primary database modelKey-value store
Wide column store
Key-value store
Relational DBMS
Document store
Key-value store
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websitecloud.google.com/­bigtablewww.leanxcale.comwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.sadasengine.comsiridb.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.siridb.com
DeveloperGoogleLeanXcaleOracleSADAS s.r.l.Cesbit
Initial release20152015201120062017
Current release24.1, May 20248.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial infofree trial version availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemshostedLinux
Solaris SPARC/x86
AIX
Linux
Windows
Linux
Data schemeschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesyes
Typing infopredefined data types such as float or datenooptionalyesyes infoNumeric data
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infothrough Apache DerbySQL-like DML and DDL statementsyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDconfigurable infoACID within a storage node (=shard)no
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.noyesyes infooff heap cacheyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts

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More resources
Google Cloud BigtableLeanXcaleOracle NoSQLSadas EngineSiriDB
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