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DBMS > Apache Impala vs. Datastax Enterprise vs. H2GIS vs. Memgraph

System Properties Comparison Apache Impala vs. Datastax Enterprise vs. H2GIS vs. Memgraph

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonH2GIS  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Spatial extension of H2An open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelRelational DBMSWide column storeSpatial DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score4.82
Rank#65  Overall
#4  Wide column stores
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score2.91
Rank#94  Overall
#7  Graph DBMS
Websiteimpala.apache.orgwww.datastax.com/­products/­datastax-enterprisewww.h2gis.orgmemgraph.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datastax.comwww.h2gis.org/­docs/­homememgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDataStaxCNRSMemgraph Ltd
Initial release2013201120132017
Current release4.1.0, June 20226.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoLGPL 3.0Open Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaC and C++
Server operating systemsLinuxLinux
OS X
Linux
Data schemeyesschema-freeyesschema-free and schema-optional
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL); Spark SQLyesno
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Bolt protocol
Cypher query language
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infobased on H2
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"noneSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infobased on H2Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per objectyes infobased on H2Users, roles and permissions
More information provided by the system vendor
Apache ImpalaDatastax EnterpriseH2GISMemgraph
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
You can check out our pricing model and licenses on the company website .
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More resources
Apache ImpalaDatastax EnterpriseH2GISMemgraph
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