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DBMS > Apache Drill vs. GigaSpaces vs. H2 vs. Heroic vs. HugeGraph

System Properties Comparison Apache Drill vs. GigaSpaces vs. H2 vs. Heroic vs. HugeGraph

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparisonHugeGraph  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 fast-speed and highly-scalable Graph DBMS
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMSGraph DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#118  Overall
#23  Document stores
#56  Relational DBMS
Score1.05
Rank#191  Overall
#31  Document stores
#6  Object oriented DBMS
Score8.14
Rank#50  Overall
#32  Relational DBMS
Score0.63
Rank#242  Overall
#21  Time Series DBMS
Score0.14
Rank#340  Overall
#31  Graph DBMS
Websitedrill.apache.orgwww.gigaspaces.comwww.h2database.comgithub.com/­spotify/­heroicgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdrill.apache.org/­docsdocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.htmlspotify.github.io/­heroichugegraph.apache.org/­docs
DeveloperApache Software FoundationGigaspaces TechnologiesThomas MuellerSpotifyBaidu
Initial release20122000200520142018
Current release1.20.3, January 202315.5, September 20202.2.220, July 20230.9
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 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaJavaJava
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
All OS with a Java VMLinux
macOS
Unix
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 infoalso supports composite index and range index
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-99 for query and DML statementsyesnono
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
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC++.Net
C++
Java
Python
Scala
JavaGroovy
Java
Python
Server-side scripts infoStored proceduresuser defined functionsyesJava Stored Procedures and User-Defined Functionsnoasynchronous Gremlin script jobs
Triggersnoyes, event driven architectureyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
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 databaseyesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsnonovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonoyesnoyes infoedges in graph
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 sourceyesyesnoyes
User concepts infoAccess controlDepending on the underlying data sourceRole-based access controlfine grained access rights according to SQL-standardUsers, roles and permissions

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More resources
Apache DrillGigaSpacesH2HeroicHugeGraph
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