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DBMS > Apache Phoenix vs. Blazegraph vs. Lovefield vs. SiteWhere vs. WakandaDB

System Properties Comparison Apache Phoenix vs. Blazegraph vs. Lovefield vs. SiteWhere vs. WakandaDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonLovefield  Xexclude from comparisonSiteWhere  Xexclude from comparisonWakandaDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Embeddable relational database for web apps written in pure JavaScriptM2M integration platform for persisting/querying time series dataWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSTime Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitephoenix.apache.orgblazegraph.comgoogle.github.io/­lovefieldgithub.com/­sitewhere/­sitewherewakanda.github.io
Technical documentationphoenix.apache.orgwiki.blazegraph.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsitewhere1.sitewhere.io/­index.htmlwakanda.github.io/­doc
DeveloperApache Software FoundationBlazegraphGoogleSiteWhereWakanda SAS
Initial release20142006201420102012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 20192.1.12, February 20172.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availableOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptJavaC++, JavaScript
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyesSPARQL is used as query languageSQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP RESTRESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
JavaScriptJavaScript
Server-side scripts infoStored proceduresuser defined functionsyesnoyes
TriggersnonoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancySecurity and Authentication via Web Application Container (Tomcat, Jetty)noUsers with fine-grained authorization conceptyes

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More resources
Apache PhoenixBlazegraphLovefieldSiteWhereWakandaDB
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