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DBMS > Apache Impala vs. GeoSpock vs. Google Cloud Datastore vs. SAP IQ vs. TigerGraph

System Properties Comparison Apache Impala vs. GeoSpock vs. Google Cloud Datastore vs. SAP IQ vs. TigerGraph

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonTigerGraph  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopSpatial and temporal data processing engine for extreme data scaleAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformColumnar RDBMS optimized for Big Data analyticsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS infocolumn-orientedGraph DBMS
Secondary database modelsDocument storeTime Series 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
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteimpala.apache.orggeospock.comcloud.google.com/­datastorewww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlwww.tigergraph.com
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­datastore/­docshelp.sap.com/­docs/­SAP_IQdocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeoSpockGoogleSAP, formerly Sybase
Initial release2013200819942017
Current release4.1.0, June 20222.0, September 201916.1 SPS04, April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptC++
Server operating systemsLinuxhostedhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, 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 indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for query only (using Presto)SQL-like query language (GQL)yesSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenousing Google App Engineyesyes
TriggersnonoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingshared disk or shared nothing architectures with SAP IQ Multiplexer
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using PaxosSAP/Sybase Replication Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infousing Google Cloud DataflowHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate 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
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
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.nonononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole-based access control

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More resources
Apache ImpalaGeoSpockGoogle Cloud DatastoreSAP IQ infoformer name: Sybase IQTigerGraph
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