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DBMS > Hive vs. LeanXcale vs. Newts vs. Quasardb

System Properties Comparison Hive vs. LeanXcale vs. Newts vs. Quasardb

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLeanXcale  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score0.18
Rank#292  Overall
#42  Key-value stores
#136  Relational DBMS
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Score0.11
Rank#310  Overall
#28  Time Series DBMS
Websitehive.apache.orgwww.leanxcale.comopennms.github.io/­newtsquasardb.net
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperApache Software Foundation infoinitially developed by FacebookLeanXcaleOpenNMS Groupquasardb
Initial release2012201520142009
Current release3.1.2, August 20193.13.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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 indexesyesnoyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache DerbynoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST
Java API
HTTP API
Supported programming languagesC++
Java
PHP
Python
C
Java
Scala
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
HiveLeanXcaleNewtsQuasardb
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
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High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
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Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
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High performance in a cost-effective small package Real-time results for even large...
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Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
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Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metrics15 beta testers
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Has been running in very demanding production environments since 2013 Rapid adoption...
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Licensing and pricing modelsannual fee covering license and support based on number of physical cores
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Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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More resources
HiveLeanXcaleNewtsQuasardb
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