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DBMS > AlaSQL vs. atoti vs. CrateDB vs. TypeDB

System Properties Comparison AlaSQL vs. atoti vs. CrateDB vs. TypeDB

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonatoti  Xexclude from comparisonCrateDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Distributed Date Store based on LuceneTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Relational DBMS
Object oriented DBMSRelational DBMS
Search engine
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#249  Overall
#35  Document stores
#117  Relational DBMS
Score0.62
Rank#258  Overall
#13  Object oriented DBMS
Score0.91
Rank#227  Overall
#106  Relational DBMS
#16  Search engines
Score1.39
Rank#182  Overall
#16  Graph DBMS
#90  Relational DBMS
Websitealasql.orgwww.atoti.iocrate.iovaticle.com
Technical documentationgithub.com/­agershun/­alasqlcrate.io/­docsdocs.vaticle.com
DeveloperAndrey Gershun & Mathias R. WulffActiveViamCrateVaticle (formerly Grakn Labs)
Initial release201420132016
Current release2.14.1, November 2022
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree versions availableOpen SourceOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: The operational database that enables data insights at scale. Available on Azure, AWS and Google Cloud.
Implementation languageJavaScriptJavaJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java 7 (and higher) VMLinux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.Multidimensional Expressions (MDX)yes, but no triggers and constraintsno
APIs and other access methodsJavaScript APIADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesJavaScriptErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoPythonuser defined functionsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integrityyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnorights management via user accountsyes infoat REST API level; other APIs in progress
More information provided by the system vendor
AlaSQLatotiCrateDBTypeDB infoformerly named Grakn
Specific characteristicsCrateDB is an open-source distributed SQL database that spreads data and processing...
» more
Meet TypeDB (and TypeQL ) TypeDB is a strongly-typed database with a rich and logical...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications. In those scenarios,...
» more
Entity-Relationship Model TypeDB allows you to model your domain using the well-known...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data in order to monitor,...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersCrateDB customers include Qualtrics , Nokia, NBC Golfnow , Digital Domain , ALPLA...
» more
Market metricsThe CrateDB open source project was started in 2013. CrateDB was the winner of the...
» more
Licensing and pricing modelsCrateDB pricing CrateDB on-premises is open source and free to use under the Apache...
» more
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
AlaSQLatotiCrateDBTypeDB infoformerly named Grakn
Conferences and events

Live Demo on Time-series data: from Raw Data to Fast Analysis in only 3 steps
Webinar, 16:00 - 16:45 CET, 22 February 2023

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