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DBMS > AnzoGraph DB vs. Apache Druid vs. Apache Impala vs. Ehcache vs. Stardog

System Properties Comparison AnzoGraph DB vs. Apache Druid vs. Apache Impala vs. Ehcache vs. Stardog

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonEhcache  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for HadoopA widely adopted Java cache with tiered storage optionsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Relational DBMSKey-value storeGraph DBMS
RDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitecambridgesemantics.com/­anzographdruid.apache.orgimpala.apache.orgwww.ehcache.orgwww.stardog.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentationdocs.stardog.com
DeveloperCambridge SemanticsApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaTerracotta Inc, owned by Software AGStardog-Union
Initial release20182012201320092010
Current release2.3, January 202129.0.1, April 20244.1.0, June 20223.10.0, March 20227.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache license v2Open Source infoApache Version 2Open Source infoApache Version 2; commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaJava
Server operating systemsLinuxLinux
OS X
Unix
LinuxAll OS with a Java VMLinux
macOS
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyes infoschema-less columns are supportedyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonononono infoImport/export of XML data possible
Secondary indexesnoyesyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL for queryingSQL-like DML and DDL statementsnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
JCacheGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC++
Java
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCJava.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infouser defined functions and integration of map-reducenouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnononoyes infoCache Event Listenersyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infomanual/auto, time-basedShardingSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes, via HDFS, S3 or other storage enginesselectable replication factoryes infoby using Terracotta ServerMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityno infonot needed in graphsnononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users and roles

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More resources
AnzoGraph DBApache DruidApache ImpalaEhcacheStardog
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