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DBMS > Badger vs. Geode vs. Google Cloud Spanner vs. Rockset vs. searchxml

System Properties Comparison Badger vs. Geode vs. Google Cloud Spanner vs. Rockset vs. searchxml

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRockset  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A scalable, reliable search and analytics service in the cloud, built on RocksDBDBMS for structured and unstructured content wrapped with an application server
Primary database modelKey-value storeKey-value storeRelational DBMSDocument storeNative XML DBMS
Search engine
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitegithub.com/­dgraph-io/­badgergeode.apache.orgcloud.google.com/­spannerrockset.comwww.searchxml.net/­category/­products
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergeode.apache.org/­docscloud.google.com/­spanner/­docsdocs.rockset.comwww.searchxml.net/­support/­handouts
DeveloperDGraph LabsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleRocksetinformationpartners gmbh
Initial release20172002201720192015
Current release1.1, February 20171.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedhostedWindows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesdynamic typingyes
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.nononono infoingestion from XML files supportedyes
Secondary indexesnonoyesall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query language (OQL)yes infoQuery statements complying to ANSI 2011Read-only SQL queries, including JOINsno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP RESTRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnouser defined functionsnonoyes infoon the application server
Triggersnoyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication with 3 replicas for regional instances.yesyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACID infoStrict serializable isolationnomultiple readers, single writer
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.noyesnono
User concepts infoAccess controlnoAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and organizations can be defined via Rockset consoleDomain, group and role-based access control at the document level and for application services

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More resources
BadgerGeodeGoogle Cloud SpannerRocksetsearchxml
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