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DBMS > Apache Impala vs. Axibase vs. Google Cloud Datastore vs. Kinetica vs. Newts

System Properties Comparison Apache Impala vs. Axibase vs. Google Cloud Datastore vs. Kinetica vs. Newts

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAxibase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonKinetica  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFully vectorized database across both GPUs and CPUsTime Series DBMS based on Cassandra
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websiteimpala.apache.orgaxibase.com/­docs/­atsd/­financecloud.google.com/­datastorewww.kinetica.comopennms.github.io/­newts
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­datastore/­docsdocs.kinetica.comgithub.com/­OpenNMS/­newts/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAxibase CorporationGoogleKineticaOpenNMS Group
Initial release20132013200820122014
Current release4.1.0, June 2022155857.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC, C++Java
Server operating systemsLinuxLinuxhostedLinuxLinux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyes, details hereyesyes
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.nonononono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query language (GQL)SQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesusing Google App Engineuser defined functionsno
TriggersnoyesCallbacks using the Google Apps Engineyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication using PaxosSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelno

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More resources
Apache ImpalaAxibaseGoogle Cloud DatastoreKineticaNewts
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