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DBMS > Google Cloud Bigtable vs. NSDb vs. Solr vs. Yanza

System Properties Comparison Google Cloud Bigtable vs. NSDb vs. Solr vs. Yanza

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonNSDb  Xexclude from comparisonSolr  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS for IoT Applications
Primary database modelKey-value store
Wide column store
Time Series DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitecloud.google.com/­bigtablensdb.iosolr.apache.orgyanza.com
Technical documentationcloud.google.com/­bigtable/­docsnsdb.io/­Architecturesolr.apache.org/­resources.html
DeveloperGoogleApache Software FoundationYanza
Initial release2015201720062015
Current release9.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaJava
Server operating systemshostedLinux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringyes infosupports customizable data types and automatic typingno
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.nonoyesno
Secondary indexesnoall fields are automatically indexedyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languageSolr Parallel SQL Interfaceno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
WebSocket
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoJava pluginsno
Triggersnoyes infoUser configurable commands triggered on index changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesno

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More resources
Google Cloud BigtableNSDbSolrYanza
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