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DBMS > AlaSQL vs. Google Cloud Bigtable vs. Graph Engine vs. Greenplum vs. Machbase Neo

System Properties Comparison AlaSQL vs. Google Cloud Bigtable vs. Graph Engine vs. Greenplum vs. Machbase Neo

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGreenplum  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparison
DescriptionJavaScript DBMS libraryGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.TimeSeries DBMS for AIoT and BigData
Primary database modelDocument store
Relational DBMS
Key-value store
Wide column store
Graph DBMS
Key-value store
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Websitealasql.orgcloud.google.com/­bigtablewww.graphengine.iogreenplum.orgmachbase.com
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualdocs.greenplum.orgmachbase.com/­dbms
DeveloperAndrey Gershun & Mathias R. WulffGoogleMicrosoftPivotal Software Inc.Machbase
Initial release20142015201020052013
Current release7.0.0, September 2023V8.0, August 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0commercial infofree test version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScript.NET and CC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hosted.NETLinuxLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.nononoyes infosince Version 4.2no
Secondary indexesnonoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonoyesSQL-like query language
APIs and other access methodsJavaScript APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
ODBC
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Supported programming languagesJavaScriptC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
C
Java
Perl
Python
R
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Server-side scripts infoStored proceduresnonoyesyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic single-row operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes infovolatile and lookup table
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardsimple password-based access control

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More resources
AlaSQLGoogle Cloud BigtableGraph Engine infoformer name: TrinityGreenplumMachbase Neo infoFormer name was Infiniflux
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