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DBMS > Apache Impala vs. Lovefield vs. Microsoft Azure Table Storage vs. OrientDB

System Properties Comparison Apache Impala vs. Lovefield vs. Microsoft Azure Table Storage vs. OrientDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEmbeddable relational database for web apps written in pure JavaScriptA Wide Column Store for rapid development using massive semi-structured datasetsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSRelational DBMSWide column storeDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score4.92
Rank#73  Overall
#6  Wide column stores
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Websiteimpala.apache.orggoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­storage/­tablesorientdb.org
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleMicrosoftOrientDB LTD; CallidusCloud; SAP
Initial release2013201420122010
Current release4.1.0, June 20222.1.12, February 20173.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptJava
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAll OS with a Java JDK (>= JDK 6)
Data schemeyesyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternnoSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCJavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoJava, Javascript
TriggersnoUsing read-only observersnoHooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights based on private key authentication or shared access signaturesAccess rights for users and roles; record level security configurable

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More resources
Apache ImpalaLovefieldMicrosoft Azure Table StorageOrientDB
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