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DBMS > Apache Drill vs. H2 vs. Heroic vs. HugeGraph vs. Spark SQL

System Properties Comparison Apache Drill vs. H2 vs. Heroic vs. HugeGraph vs. Spark SQL

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparisonHugeGraph  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageFull-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 fast-speed and highly-scalable Graph DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitedrill.apache.orgwww.h2database.comgithub.com/­spotify/­heroicgithub.com/­hugegraph
hugegraph.apache.org
spark.apache.org/­sql
Technical documentationdrill.apache.org/­docswww.h2database.com/­html/­main.htmlspotify.github.io/­heroichugegraph.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationThomas MuellerSpotifyBaiduApache Software Foundation
Initial release20122005201420182014
Current release1.20.3, January 20232.2.220, July 20230.93.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScala
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Unix
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
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.nonononono
Secondary indexesnoyesyes infovia Elasticsearchyes infoalso supports composite index and range indexno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languagesC++JavaGroovy
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsJava Stored Procedures and User-Defined Functionsnoasynchronous Gremlin script jobsno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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 sourceyesnoyesno
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardUsers, roles and permissionsno

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More resources
Apache DrillH2HeroicHugeGraphSpark SQL
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