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DBMS > Apache Impala vs. Google Cloud Spanner vs. Quasardb vs. Valentina Server vs. VelocityDB

System Properties Comparison Apache Impala vs. Google Cloud Spanner vs. Quasardb vs. Valentina Server vs. VelocityDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonQuasardb  Xexclude from comparisonValentina Server  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Distributed, high-performance timeseries databaseObject-relational database and reports serverA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteimpala.apache.orgcloud.google.com/­spannerquasar.aiwww.valentina-db.netvelocitydb.com
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­spanner/­docsdoc.quasar.ai/­mastervalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpvelocitydb.com/­UserGuide
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGooglequasardbParadigma SoftwareVelocityDB Inc
Initial release20132017200919992011
Current release4.1.0, June 20223.14.1, January 20245.7.57.x
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C#
Server operating systemsLinuxhostedBSD
Linux
OS X
Windows
Linux
OS X
Windows
Any that supports .NET
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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 indexesyesyesyes infowith tagsyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoQuery statements complying to ANSI 2011SQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP APIODBC.Net
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyesno
TriggersnononoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication with 3 replicas for regional instances.Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infousing Google Cloud Dataflowwith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Cryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
Apache ImpalaGoogle Cloud SpannerQuasardbValentina ServerVelocityDB
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