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DBMS > Apache Impala vs. H2GIS vs. LeanXcale vs. Lovefield

System Properties Comparison Apache Impala vs. H2GIS vs. LeanXcale vs. Lovefield

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2GIS  Xexclude from comparisonLeanXcale  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSpatial extension of H2A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSSpatial DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websiteimpala.apache.orgwww.h2gis.orgwww.leanxcale.comgoogle.github.io/­lovefield
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2gis.org/­docs/­homegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSLeanXcaleGoogle
Initial release2013201320152014
Current release4.1.0, June 20222.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoLGPL 3.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScript
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infothrough Apache DerbySQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesAll languages supporting JDBC/ODBCJavaC
Java
Scala
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infobased on H2no
TriggersnoyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on H2no

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More resources
Apache ImpalaH2GISLeanXcaleLovefield
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