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DBMS > BigObject vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. Machbase Neo vs. Postgres-XL

System Properties Comparison BigObject vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. Machbase Neo vs. Postgres-XL

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.TimeSeries DBMS for AIoT and BigDataBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value store
Wide column store
Document storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitebigobject.iocloud.google.com/­bigtablefirebase.google.com/­products/­firestoremachbase.comwww.postgres-xl.org
Technical documentationdocs.bigobject.iocloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestoremachbase.com/­dbmswww.postgres-xl.org/­documentation
DeveloperBigObject, Inc.GoogleGoogleMachbase
Initial release20152015201720132014 infosince 2012, originally named StormDB
Current releaseV8.0, August 202310 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialcommercial infofree test version availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedhostedLinux
macOS
Windows
Linux
macOS
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononoyes infoXML type, but no XML query functionality
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresLuanoyes, Firebase Rules & Cloud Functionsnouser defined functions
Triggersnonoyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsyesnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infovolatile and lookup tableno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.simple password-based access controlfine grained access rights according to SQL-standard

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More resources
BigObjectGoogle Cloud BigtableGoogle Cloud FirestoreMachbase Neo infoFormer name was InfinifluxPostgres-XL
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