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DBMS > Apache Impala vs. InfinityDB vs. LeanXcale vs. SiteWhere

System Properties Comparison Apache Impala vs. InfinityDB vs. LeanXcale vs. SiteWhere

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInfinityDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA Java embedded Key-Value Store which extends the Java Map interfaceA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteimpala.apache.orgboilerbay.comwww.leanxcale.comgithub.com/­sitewhere/­sitewhere
Technical documentationimpala.apache.org/­impala-docs.htmlboilerbay.com/­infinitydb/­manualsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBoiler Bay Inc.LeanXcaleSiteWhere
Initial release2013200220152010
Current release4.1.0, June 20224.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyespredefined scheme
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 indexesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infothrough Apache Derbyno
APIs and other access methodsJDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBCJavaC
Java
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneselectable replication factor infobased on HBase
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 Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoUsers with fine-grained authorization concept

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More resources
Apache ImpalaInfinityDBLeanXcaleSiteWhere
Recent citations in the news

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

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28 November 2017, Datanami

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