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DBMS > Apache Phoenix vs. Google Cloud Datastore vs. LokiJS vs. SAP SQL Anywhere vs. SiriDB

System Properties Comparison Apache Phoenix vs. Google Cloud Datastore vs. LokiJS vs. SAP SQL Anywhere vs. SiriDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLokiJS  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory JavaScript DBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen Source Time Series DBMS
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.43
Rank#264  Overall
#42  Document stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitephoenix.apache.orgcloud.google.com/­datastoregithub.com/­techfort/­LokiJSwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsiridb.com
Technical documentationphoenix.apache.orgcloud.google.com/­datastore/­docstechfort.github.io/­LokiJShelp.sap.com/­docs/­SAP_SQL_Anywheredocs.siridb.com
DeveloperApache Software FoundationGoogleSAP infoformerly SybaseCesbit
Initial release20142008201419922017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourcecommercialOpen Source infoMIT License
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 languageJavaJavaScriptC
Server operating systemsLinux
Unix
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, details herenoyesyes infoNumeric data
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.nononoyesno
Secondary indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)noyesno
APIs and other access methodsJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JavaScript APIADO.NET
HTTP API
JDBC
ODBC
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsusing Google App EngineView functions in JavaScriptyes, in C/C++, Java, .Net or Perlno
TriggersnoCallbacks using the Google Apps Engineyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using PaxosnoneSource-replica replication infoDatabase mirroringyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infousing Google Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual 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.noneImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno infoatomic operations within a single collection possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardsimple rights management via user accounts

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More resources
Apache PhoenixGoogle Cloud DatastoreLokiJSSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSiriDB
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