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DBMS > Google Cloud Bigtable vs. Sadas Engine vs. UniData,UniVerse vs. XTDB

System Properties Comparison Google Cloud Bigtable vs. Sadas Engine vs. UniData,UniVerse vs. XTDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonSadas Engine  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonXTDB infoformerly named Crux  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.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsMultiValue database and application server with SQL mapping layer and meta database capabilitiesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Wide column store
Relational DBMSMultivalue DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitecloud.google.com/­bigtablewww.sadasengine.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatagithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­bigtable/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatawww.xtdb.com/­docs
DeveloperGoogleSADAS s.r.l.Rocket SoftwareJuxt Ltd.
Initial release2015200619852019
Current release8.01.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CClojure
Server operating systemshostedAIX
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesoptionalyes, 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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietary protocol
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Basic infoU2 Basic
C
Java
Clojure
Java
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, 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.noyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
Google Cloud BigtableSadas EngineUniData,UniVerseXTDB infoformerly named Crux
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