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DBMS > Apache Impala vs. EventStoreDB vs. GigaSpaces vs. Hypertable

System Properties Comparison Apache Impala vs. EventStoreDB vs. GigaSpaces vs. Hypertable

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAnalytic 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 TransactionsAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSEvent StoreDocument store
Object oriented DBMS infoValues are user defined objects
Wide column store
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Websiteimpala.apache.orgwww.eventstore.comwww.gigaspaces.com
Technical documentationimpala.apache.org/­impala-docs.htmldevelopers.eventstore.comdocs.gigaspaces.com/­latest/­landing.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEvent Store LimitedGigaspaces TechnologiesHypertable Inc.
Initial release2013201220002009
Current release4.1.0, June 202221.2, February 202115.5, September 20200.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetC++
Server operating systemsLinuxLinux
Windows
Linux
macOS
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 metadata
Secondary indexesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-99 for query and DML statementsno
APIs and other access methodsJDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
C++ API
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C++
Java
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlno

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More resources
Apache ImpalaEventStoreDBGigaSpacesHypertable
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