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DBMS > Apache Impala vs. Google Cloud Datastore vs. H2GIS vs. Realm vs. Tigris

System Properties Comparison Apache Impala vs. Google Cloud Datastore vs. H2GIS vs. Realm vs. Tigris

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonH2GIS  Xexclude from comparisonRealm  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSpatial extension of H2A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSDocument storeSpatial DBMSDocument storeDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websiteimpala.apache.orgcloud.google.com/­datastorewww.h2gis.orgrealm.iowww.tigrisdata.com
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­datastore/­docswww.h2gis.org/­docs/­homerealm.io/­docswww.tigrisdata.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleCNRSRealm, acquired by MongoDB in May 2019Tigris Data, Inc.
Initial release20132008201320142022
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoLGPL 3.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsLinuxhostedAndroid
Backend: server-less
iOS
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (GQL)yesnono
APIs and other access methodsJDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
Java infowith Android only
Objective-C
React Native
Swift
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceusing Google App Engineyes infobased on H2no inforuns within the applications so server-side scripts are unnecessaryno
TriggersnoCallbacks using the Google Apps Engineyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using Paxosyes infobased on H2noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes 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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoIn-Memory realm
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)yes infobased on H2yesAccess rights for users and roles

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More resources
Apache ImpalaGoogle Cloud DatastoreH2GISRealmTigris
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