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DBMS > GeoSpock vs. Google Cloud Bigtable vs. RavenDB vs. Teradata Aster vs. VoltDB

System Properties Comparison GeoSpock vs. Google Cloud Bigtable vs. RavenDB vs. Teradata Aster vs. VoltDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRavenDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonVoltDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Open Source Operational and Transactional Enterprise NoSQL Document DatabasePlatform for big data analytics on multistructured data sources and typesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSKey-value store
Wide column store
Document storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.91
Rank#93  Overall
#15  Key-value stores
#8  Wide column stores
Score2.70
Rank#100  Overall
#19  Document stores
Score1.37
Rank#156  Overall
#72  Relational DBMS
Websitegeospock.comcloud.google.com/­bigtableravendb.netwww.voltdb.com
Technical documentationcloud.google.com/­bigtable/­docsravendb.net/­docsdocs.voltdb.com
DeveloperGeoSpockGoogleHibernating RhinosTeradataVoltDB Inc.
Initial release2015201020052010
Current release2.0, September 20195.4, July 202211.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC#Java, C++
Server operating systemshostedhostedLinux
macOS
Raspberry Pi
Windows
LinuxLinux
OS X infofor development
Data schemeyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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.nonoyes infoin Aster File Store
Secondary indexestemporal, categoricalnoyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like query language (RQL)yesyes infoonly a subset of SQL 99
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoyesR packagesJava
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACID, Cluster-wide transaction availableACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Authorization levels configured per client per databasefine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
GeoSpockGoogle Cloud BigtableRavenDBTeradata AsterVoltDB
Recent citations in the news

Mitsui Fudosan pinpoints GeoSpock for more funding -
9 January 2019, Global Corporate Venturing

Growth in geospatial data to enable more contextual understanding – Steve Marsh, GeoSpock
13 March 2018, Geospatial World

GeoSpock showcases rapid expansion with data insights
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RavenDB Welcomes David Baruc as Chief Revenue Officer: Seasoned Tech Leader to Drive Global Sales and Accelerate Growth
13 June 2023, PR Newswire

The Forrester Wave™: Big Data NoSQL, Q1 2019
13 March 2019, Forrester

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Northwestern Analytics Partners with Teradata Aster to Host Hackathon
23 May 2014, Northwestern Engineering

Teradata gears up for Internet of Things analytics
19 October 2015, CIO

Teradata's Aster shows how the flowers of fraud bloom
23 April 2015, The Register

Teradata Unveils Powerful Analytics Platform
23 October 2017, PR Newswire

Breakthrough Teradata Software Pushes the Analytic Edge with Internet of Things Data
19 October 2015, IoT Business News

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VoltDB Makes Key New Hires to Accelerate Telco Business Growth
28 October 2021, The Fast Mode

Coppel Mexico Picks VoltDB to Power Customer Profiles
10 June 2021, PR Newswire

MemSQL, VoltDB Vie For In-Memory Big Data Role
12 February 2015, InformationWeek

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