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DBMS > Google Cloud Bigtable vs. Heroic vs. IBM Db2 warehouse vs. Percona Server for MongoDB vs. Solr

System Properties Comparison Google Cloud Bigtable vs. Heroic vs. IBM Db2 warehouse vs. Percona Server for MongoDB vs. Solr

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHeroic  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchCloud-based data warehousing serviceA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value store
Wide column store
Time Series DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitecloud.google.com/­bigtablegithub.com/­spotify/­heroicwww.ibm.com/­products/­db2/­warehousewww.percona.com/­mongodb/­software/­percona-server-for-mongodbsolr.apache.org
Technical documentationcloud.google.com/­bigtable/­docsspotify.github.io/­heroicdocs.percona.com/­percona-distribution-for-mongodbsolr.apache.org/­resources.html
DeveloperGoogleSpotifyIBMPerconaApache Software Foundation
Initial release20152014201420152006
Current release3.4.10-2.10, November 20179.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL Version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemshostedhostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyesyes 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.nonono infoImport/export of XML data possiblenoyes
Secondary indexesnoyes infovia Elasticsearchyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyesnoSolr Parallel SQL Interface
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
OLE DB
proprietary protocol using JSONJava API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PLJavaScriptJava plugins
Triggersnonoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and rolesyes

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More resources
Google Cloud BigtableHeroicIBM Db2 warehouse infoformerly named IBM dashDBPercona Server for MongoDBSolr
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