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DBMS > Apache Impala vs. NuoDB vs. openGemini vs. Sqrrl vs. ToroDB

System Properties Comparison Apache Impala vs. NuoDB vs. openGemini vs. Sqrrl vs. ToroDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonNuoDB  Xexclude from comparisonopenGemini  Xexclude from comparisonSqrrl  Xexclude from comparisonToroDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopNuoDB is a webscale distributed database that supports SQL and ACID transactionsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityAdaptable, secure NoSQL built on Apache AccumuloA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Websiteimpala.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasewww.opengemini.org
github.com/­openGemini
sqrrl.comgithub.com/­torodb/­server
Technical documentationimpala.apache.org/­impala-docs.htmldoc.nuodb.comdocs.opengemini.org/­guide
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDassault Systèmes infooriginally NuoDB, Inc.Huawei and openGemini communityAmazon infooriginally Sqrrl Data, Inc.8Kdata
Initial release20132013202220122016
Current release4.1.0, June 20221.1, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache Version 2.0commercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++GoJavaJava
Server operating systemsLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Windows
LinuxAll OS with a Java 7 VM
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringyesyes infostring, integer, double, boolean, date, object_id
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava, SQLnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtenShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoManaged transparently by NuoDByesselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infotunable commit protocolnoAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTemporary tableyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosStandard SQL roles/ privileges, Administrative UsersAdministrators and common users accountsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and roles

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More resources
Apache ImpalaNuoDBopenGeminiSqrrlToroDB
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