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DBMS > Apache Drill vs. Apache Impala vs. EventStoreDB vs. GigaSpaces vs. TerarkDB

System Properties Comparison Apache Drill vs. Apache Impala vs. EventStoreDB vs. GigaSpaces vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Impala  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for HadoopIndustrial-strength, open-source database solution built from the ground up for event sourcing.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Relational DBMS
Relational DBMSEvent StoreDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitedrill.apache.orgimpala.apache.orgwww.eventstore.comwww.gigaspaces.comgithub.com/­bytedance/­terarkdb
Technical documentationdrill.apache.org/­docsimpala.apache.org/­impala-docs.htmldevelopers.eventstore.comdocs.gigaspaces.com/­latest/­landing.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by ClouderaEvent Store LimitedGigaspaces TechnologiesByteDance, originally Terark
Initial release20122013201220002016
Current release1.20.3, January 20234.1.0, June 202221.2, February 202115.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesnoyesyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsSQL-99 for query and DML statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languagesC++All languages supporting JDBC/ODBC.Net
C++
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceyesno
Triggersnonoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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 sourcenoyesyes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlno

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More resources
Apache DrillApache ImpalaEventStoreDBGigaSpacesTerarkDB
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