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DBMS > EsgynDB vs. Impala vs. LeanXcale

System Properties Comparison EsgynDB vs. Impala vs. LeanXcale

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonImpala  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic DBMS for HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#335  Overall
#147  Relational DBMS
Score17.82
Rank#39  Overall
#24  Relational DBMS
Score0.22
Rank#318  Overall
#44  Key-value stores
#142  Relational DBMS
Websitewww.esgyn.cnwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.leanxcale.com
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperEsgynClouderaLeanXcale
Initial release201520132015
Current release4.1.0, June 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++
Server operating systemsLinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infothrough Apache Derby
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBCC
Java
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos
More information provided by the system vendor
EsgynDBImpalaLeanXcale
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EsgynDBImpalaLeanXcale
Recent citations in the news

Esgyn Launches Enterprise-Class Converged Big Data Platform for Transactions, Operational Data Stores, and BI/Analytics with EsgynDB 2.1
7 September 2016, PR Web

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera aims to bring real-time queries to Hadoop, big data
24 October 2012, ZDNet

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, WIRED

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Unravel Data Adds Native Support for Impala and Kafka
29 June 2017, insideBIGDATA

provided by Google News

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