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DBMS > Badger vs. Google Cloud Datastore vs. Impala vs. SAP Adaptive Server vs. STSdb

System Properties Comparison Badger vs. Google Cloud Datastore vs. Impala vs. SAP Adaptive Server vs. STSdb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonImpala  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAnalytic DBMS for HadoopThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#311  Overall
#46  Key-value stores
Score6.45
Rank#67  Overall
#12  Document stores
Score17.56
Rank#40  Overall
#25  Relational DBMS
Score44.82
Rank#25  Overall
#17  Relational DBMS
Score0.00
Rank#357  Overall
#56  Key-value stores
Websitegithub.com/­dgraph-io/­badgercloud.google.com/­datastorewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.sap.com/­products/­sybase-ase.htmlgithub.com/­STSSoft/­STSdb4
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­datastore/­docsdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlhelp.sap.com/­viewer/­product/­SAP_ASE
DeveloperDGraph LabsGoogleClouderaSAP, SybaseSTS Soft SC
Initial release20172008201319872011
Current release4.0.0, July 202116.04.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C and C++C#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinuxAIX
HP-UX
Linux
Solaris
Unix
Windows
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyes, details hereyesyesyes infoprimitive types and user defined types (classes)
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
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like query language (GQL)SQL-like DML and DDL statementsyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client API
Supported programming languagesGo.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBCC
C++
Cobol
Java
Java
Perl
PHP
Python
C#
Java
Server-side scripts infoStored proceduresnousing Google App Engineyes infouser defined functions and integration of map-reduceJava and Transact-SQLno
TriggersnoCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using Paxosselectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDno
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.nonono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardno

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More resources
BadgerGoogle Cloud DatastoreImpalaSAP Adaptive Server infoformer name: Sybase ASESTSdb
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