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DBMS > Apache Impala vs. Ehcache vs. KairosDB vs. Pinecone

System Properties Comparison Apache Impala vs. Ehcache vs. KairosDB vs. Pinecone

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEhcache  Xexclude from comparisonKairosDB  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA widely adopted Java cache with tiered storage optionsDistributed Time Series DBMS based on Cassandra or H2A managed, cloud-native vector database
Primary database modelRelational DBMSKey-value storeTime Series DBMSVector 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
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websiteimpala.apache.orgwww.ehcache.orggithub.com/­kairosdb/­kairosdbwww.pinecone.io
Technical documentationimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentationkairosdb.github.iodocs.pinecone.io/­docs/­overview
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaTerracotta Inc, owned by Software AGPinecone Systems, Inc
Initial release2013200920132019
Current release4.1.0, June 20223.10.0, March 20221.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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
hosted
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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 indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
JCacheGraphite protocol
HTTP REST
Telnet API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCJavaJava
JavaScript infoNode.js
PHP
Python
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby using Terracotta Serverselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnosimple password-based access control

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More resources
Apache ImpalaEhcacheKairosDBPinecone
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