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DBMS > atoti vs. Google Cloud Bigtable vs. Postgres-XL vs. TDSQL for MySQL

System Properties Comparison atoti vs. Google Cloud Bigtable vs. Postgres-XL vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelObject oriented DBMSKey-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websiteatoti.iocloud.google.com/­bigtablewww.postgres-xl.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.atoti.iocloud.google.com/­bigtable/­docswww.postgres-xl.org/­documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperActiveViamGoogleTencent
Initial release20152014 infosince 2012, originally named StormDB2013
Current release10 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemshostedLinux
macOS
hosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infodistributed, parallel query executionyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresPythonnouser defined functionsyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardinghorizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
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

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More resources
atotiGoogle Cloud BigtablePostgres-XLTDSQL for MySQL
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