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DBMS > Apache Impala vs. GigaSpaces vs. Memgraph vs. SQL.JS vs. SQream DB

System Properties Comparison Apache Impala vs. GigaSpaces vs. Memgraph vs. SQL.JS vs. SQream DB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMemgraph  Xexclude from comparisonSQL.JS  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn open source graph database built for real-time streaming and compatible with Neo4jPort of SQLite to JavaScripta GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteimpala.apache.orgwww.gigaspaces.commemgraph.comsql.js.orgsqream.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.gigaspaces.com/­latest/­landing.htmlmemgraph.com/­docssql.js.org/­documentation/­index.htmldocs.sqream.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGigaspaces TechnologiesMemgraph LtdAlon Zakai infoenhancements implemented by othersSQream Technologies
Initial release20132000201720122017
Current release4.1.0, June 202215.5, September 20202022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; Commercial licenses availableOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetC and C++JavaScriptC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesschema-freeschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI Standard SQL Types
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-99 for query and DML statementsnoyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Bolt protocol
Cypher query language
JavaScript API.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C++
Java
Python
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
JavaScriptC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnouser defined functions in Python
Triggersnoyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication using RAFTnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesno infoexcept by serializing a db to a fileyes
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 KerberosRole-based access controlUsers, roles and permissionsno
More information provided by the system vendor
Apache ImpalaGigaSpacesMemgraphSQL.JSSQream DB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Apache ImpalaGigaSpacesMemgraphSQL.JSSQream DB
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