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DBMS > Alibaba Cloud Table Store vs. EsgynDB vs. Google Cloud Bigtable vs. LokiJS vs. Solr

System Properties Comparison Alibaba Cloud Table Store vs. EsgynDB vs. Google Cloud Bigtable vs. LokiJS vs. Solr

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLokiJS  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-memory JavaScript DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelWide column storeRelational DBMSKey-value store
Wide column store
Document storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.49
Rank#260  Overall
#42  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.alibabacloud.com/­product/­table-storewww.esgyn.cncloud.google.com/­bigtablegithub.com/­techfort/­LokiJSsolr.apache.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorecloud.google.com/­bigtable/­docstechfort.github.io/­LokiJSsolr.apache.org/­resources.html
DeveloperAlibabaEsgynGoogleApache Software Foundation
Initial release20162015201520142006
Current release9.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaScriptJava
Server operating systemshostedLinuxhostedserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnonoyes infosupports customizable data types and automatic typing
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
Secondary indexesnoyesnoyes infovia viewsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesnonoSolr Parallel SQL Interface
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JavaScript APIJava API
RESTful HTTP/JSON API
Supported programming languagesJava
Python
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoView functions in JavaScriptJava plugins
Triggersnononoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDAtomic single-row operationsno infoatomic operations within a single collection possibleoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes

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More resources
Alibaba Cloud Table StoreEsgynDBGoogle Cloud BigtableLokiJSSolr
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