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DBMS > Google Cloud Datastore vs. HarperDB vs. SAP SQL Anywhere vs. Splunk

System Properties Comparison Google Cloud Datastore vs. HarperDB vs. SAP SQL Anywhere vs. Splunk

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHarperDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed database focused on speed and ease of use. It has an intuitive REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces, and users can be up and running in minutes.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAnalytics Platform for Big Data
Primary database modelDocument storeDocument storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.75
Rank#71  Overall
#12  Document stores
Score0.44
Rank#248  Overall
#38  Document stores
Score5.62
Rank#72  Overall
#40  Relational DBMS
Score98.21
Rank#14  Overall
#2  Search engines
Websitecloud.google.com/­datastoreharperdb.iowww.sap.com/­products/­sql-anywhere.htmlwww.splunk.com
Technical documentationcloud.google.com/­datastore/­docsharperdb.io/­developers/­documentation/­overviewhelp.sap.com/­sql-anywheredocs.splunk.com/­Documentation/­Splunk
DeveloperGoogleHarperDBSAP infoformerly SybaseSplunk Inc.
Initial release2008201719922003
Current release3.1, August 202117, July 2015
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.js
Server operating systemshostedLinux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateyes, details hereyes infoJSON data typesyesyes
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.nonoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like data manipulation statementsyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
HTTP API
JDBC
ODBC
HTTP REST
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App EngineCustom Functions infosince release 3.1yes, in C/C++, Java, .Net or Perlyes
TriggersCallbacks using the Google Apps Enginenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infothe nodes on which a table resides can be definedSource-replica replication infoDatabase mirroringMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsAtomic execution of specific operationsACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Google Cloud DatastoreHarperDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplunk
Specific characteristicsHarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
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Competitive advantagesBy combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
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Typical application scenariosUse cases where HarperDB is a better fit than other solutions include: Rapid app...
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Key customersA few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
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Market metricsOver 94K total HarperDB users : 16,500+ npm downloads 73,600+ on Docker Hub 4,200+...
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Licensing and pricing modelsHarperDB follows a freemium/premium model . A data base is only as powerful as it...
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Google Cloud DatastoreHarperDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplunk
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