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DBMS > AlaSQL vs. CockroachDB vs. GigaSpaces vs. Interbase vs. PlanetScale

System Properties Comparison AlaSQL vs. CockroachDB vs. GigaSpaces vs. Interbase vs. PlanetScale

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonCockroachDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonInterbase  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionJavaScript DBMS libraryCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsLight-weight proven RDBMS infooriginally from BorlandScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitealasql.orgwww.cockroachlabs.comwww.gigaspaces.comwww.embarcadero.com/­products/­interbaseplanetscale.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.cockroachlabs.com/­docsdocs.gigaspaces.com/­latest/­landing.htmldocs.embarcadero.com/­products/­interbaseplanetscale.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffCockroach LabsGigaspaces TechnologiesEmbarcaderoPlanetScale
Initial release20142015200019842020
Current release24.1.0, May 202415.5, September 2020InterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoJava, C++, .NetCGo
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Linux
macOS
Solaris
Windows
Android
iOS
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freedynamic schemaschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infoXML can be used for describing objects metadatano infoexport as XML data possible
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes, wire compatible with PostgreSQLSQL-99 for query and DML statementsyesyes infowith proprietary extensions
APIs and other access methodsJavaScript APIJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJavaScriptC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C++
Java
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesyes infoInterbase procedure and trigger languageyes infoproprietary syntax
Triggersyesnoyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using RAFTMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Interbase Change ViewsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlnoRole-based access controlRole-based access controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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AlaSQLCockroachDBGigaSpacesInterbasePlanetScale
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