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DBMS > Apache Impala vs. Apache Pinot vs. Microsoft Azure Table Storage vs. TimesTen vs. XTDB

System Properties Comparison Apache Impala vs. Apache Pinot vs. Microsoft Azure Table Storage vs. TimesTen vs. XTDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Pinot  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTimesTen  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA Wide Column Store for rapid development using massive semi-structured datasetsIn-Memory RDBMS compatible to OracleA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteimpala.apache.orgpinot.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.pinot.apache.orgdocs.oracle.com/­database/­timesten-18.1www.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation and contributorsMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Juxt Ltd.
Initial release20132015201219982019
Current release4.1.0, June 20221.0.0, September 202311 Release 2 (11.2.2.8.0)1.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaClojure
Server operating systemsLinuxAll OS with a Java JDK11 or higherhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
JDBCRESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoPL/SQLno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
yes, each node contains all data
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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
Apache ImpalaApache PinotMicrosoft Azure Table StorageTimesTenXTDB infoformerly named Crux
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