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DBMS > Apache Drill vs. GigaSpaces vs. H2 vs. Heroic vs. TDSQL for MySQL

System Properties Comparison Apache Drill vs. GigaSpaces vs. H2 vs. Heroic vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitedrill.apache.orgwww.gigaspaces.comwww.h2database.comgithub.com/­spotify/­heroicwww.tencentcloud.com/­products/­dcdb
Technical documentationdrill.apache.org/­docsdocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.htmlspotify.github.io/­heroicwww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software FoundationGigaspaces TechnologiesThomas MuellerSpotifyTencent
Initial release20122000200520142013
Current release1.20.3, January 202315.5, September 20202.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; Commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaJava
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
All OS with a Java VMhosted
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono infoXML can be used for describing objects metadatanonono
Secondary indexesnoyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-99 for query and DML statementsyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Supported programming languagesC++.Net
C++
Java
Python
Scala
JavaC
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesJava Stored Procedures and User-Defined Functionsnoyes
Triggersnoyes, event driven architectureyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
With clustering: 2 database servers on different computers operate on identical copies of a databaseyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyesnono
User concepts infoAccess controlDepending on the underlying data sourceRole-based access controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Apache DrillGigaSpacesH2HeroicTDSQL for MySQL
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