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DBMS > AlaSQL vs. AnzoGraph DB vs. Apache Impala vs. Dragonfly vs. H2

System Properties Comparison AlaSQL vs. AnzoGraph DB vs. Apache Impala vs. Dragonfly vs. H2

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonDragonfly  Xexclude from comparisonH2  Xexclude from comparison
DescriptionJavaScript DBMS libraryScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic DBMS for HadoopA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitealasql.orgcambridgesemantics.com/­anzographimpala.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.h2database.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmlwww.dragonflydb.io/­docswww.h2database.com/­html/­main.html
DeveloperAndrey Gershun & Mathias R. WulffCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaDragonflyDB team and community contributorsThomas Mueller
Initial release20142018201320232005
Current release2.3, January 20214.1.0, June 20221.0, March 20232.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree trial version availableOpen Source infoApache Version 2Open Source infoBSL 1.1Open Source infodual-licence (Mozilla public license, Eclipse public license)
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 languageJavaScriptC++C++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinuxLinuxAll OS with a Java VM
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesscheme-freeyes
Typing infopredefined data types such as float or datenoyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsnoyes
APIs and other access methodsJavaScript APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
Supported programming languagesJavaScriptC++
Java
Python
All languages supporting JDBC/ODBCC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infouser defined functions and integration of map-reduceLuaJava Stored Procedures and User-Defined Functions
Triggersyesnonopublish/subscribe channels provide some trigger functionalityyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication in MPP-Clusterselectable replication factorSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency in MPP-ClusterEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnoAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPassword-based authenticationfine grained access rights according to SQL-standard

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More resources
AlaSQLAnzoGraph DBApache ImpalaDragonflyH2
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