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DBMS > Apache Druid vs. Google Cloud Datastore vs. Realm vs. SAP SQL Anywhere

System Properties Comparison Apache Druid vs. Google Cloud Datastore vs. Realm vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRealm  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMS
Time Series DBMS
Document storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score7.41
Rank#52  Overall
#8  Document stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitedruid.apache.orgcloud.google.com/­datastorerealm.iowww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­datastore/­docsrealm.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software Foundation and contributorsGoogleRealm, acquired by MongoDB in May 2019SAP infoformerly Sybase
Initial release2012200820141992
Current release29.0.1, April 202417, July 2015
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Unix
hostedAndroid
Backend: server-less
iOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query language (GQL)noyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnousing Google App Engineno inforuns within the applications so server-side scripts are unnecessaryyes, in C/C++, Java, .Net or Perl
TriggersnoCallbacks using the Google Apps Engineyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication using PaxosnoneSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realmyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesfine grained access rights according to SQL-standard

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More resources
Apache DruidGoogle Cloud DatastoreRealmSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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