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DBMS > AnzoGraph DB vs. Apache Drill vs. Apache Impala vs. LevelDB vs. searchxml

System Properties Comparison AnzoGraph DB vs. Apache Drill vs. Apache Impala vs. LevelDB vs. searchxml

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Drill  Xexclude from comparisonApache Impala  Xexclude from comparisonLevelDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDBMS for structured and unstructured content wrapped with an application server
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSKey-value storeNative XML DBMS
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Websitecambridgesemantics.com/­anzographdrill.apache.orgimpala.apache.orggithub.com/­google/­leveldbwww.searchxml.net/­category/­products
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdrill.apache.org/­docsimpala.apache.org/­impala-docs.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.searchxml.net/­support/­handouts
DeveloperCambridge SemanticsApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleinformationpartners gmbh
Initial release20182012201320112015
Current release2.3, January 20211.20.3, January 20234.1.0, June 20221.23, February 20211.0
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2Open Source infoApache Version 2Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemsLinuxLinux
OS X
Windows
LinuxIllumos
Linux
OS X
Windows
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonononoyes
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsnono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Java
Python
C++All languages supporting JDBC/ODBCC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes infouser defined functions and integration of map-reducenoyes infoon the application server
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factornoneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourcenono
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourceAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoDomain, group and role-based access control at the document level and for application services

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More resources
AnzoGraph DBApache DrillApache ImpalaLevelDBsearchxml
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