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DBMS > Apache Drill vs. GeoSpock vs. Ignite vs. Transbase

System Properties Comparison Apache Drill vs. GeoSpock vs. Ignite vs. Transbase

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGeoSpock  Xexclude from comparisonIgnite  Xexclude from comparisonTransbase  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageSpatial and temporal data processing engine for extreme data scaleApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitedrill.apache.orggeospock.comignite.apache.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationdrill.apache.org/­docsapacheignite.readme.io/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationGeoSpockApache Software FoundationTransaction Software GmbH
Initial release201220151987
Current release1.20.3, January 20232.0, September 2019Apache Ignite 2.6Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++, Java, .NetC and C++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesnotemporal, categoricalyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes (compute grid and cache interceptors can be used instead)yes
Triggersnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesno
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users can be defined per tableSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Apache DrillGeoSpockIgniteTransbase
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