DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > eXtremeDB vs. Google Cloud Datastore vs. Titan

System Properties Comparison eXtremeDB vs. Google Cloud Datastore vs. Titan

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS
Time Series DBMS
Document storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#209  Overall
#100  Relational DBMS
#15  Time Series DBMS
Score5.49
Rank#74  Overall
#13  Document stores
Websitewww.mcobject.comcloud.google.com/­datastoretitan.thinkaurelius.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmcloud.google.com/­datastore/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperMcObjectGoogleAurelius, owned by DataStax
Initial release200120082012
Current release8.2, 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyes
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.no infosupport of XML interfaces availableno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like query language (GQL)no
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyesusing Google App Engineyes
Triggersyes infoby defining eventsCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph Server
More information provided by the system vendor
eXtremeDBGoogle Cloud DatastoreTitan
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
eXtremeDBGoogle Cloud DatastoreTitan
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

McObject Announces Availability of eXtremeDB/rt for Green Hills Software's INTEGRITY RTOS
21 April 2022, GlobeNewswire

McObject Collaborates with Wind River to Deliver First-Ever Deterministic Database System for VxWorks-based Real-Time Embedded Systems
14 September 2021, GlobeNewswire

McObject and Siemens Embedded Announce Immediate Availability of eXtremeDB/rt for Nucleus RTOS
23 February 2022, GlobeNewswire

eXtremeDB 8.1 adds features for easier, more sophisticated database management
19 November 2019, GlobeNewswire

McObject and Lynx Software Technologies Team Up for the First COTS Hard Real-Time DBMS for Mission- and Safety-Critical Systems
21 October 2021, GlobeNewswire

provided by Google News

Tensure Consulting Achieves the Application Development Partner Specialization in Google Cloud Partner Advantage Program
3 May 2022, PR Newswire

Google I/O announces the preview of AlloyDB for PostgreSQL
11 May 2022, Tech Wire Asia

NetApp’s cloud-era storage competitors in ‘world of hurt’
10 May 2022, ComputerWeekly.com

Key-Value Stores Market Past Research, Deep Analysis and Present Data With Redis, Azure Redis Cache, ArangoDB – The Daily Vale
22 May 2022, The Daily Vale

Rowy Takes on the Limits of Airtable with Low-Code Cloud Collaboration
2 May 2022, thenewstack.io

provided by Google News

Beyond Titan: The Evolution of DataStax's New Graph Database
21 June 2016, Datanami

DataStax acquires open source graph database company Aurelius
4 February 2015, ComputerWeekly.com

TigerGraph Launches Graph Database-as-a-Service on Azure - eWEEK
16 July 2020, eWeek

The Graph Database Poised To Pounce On The Mainstream
19 September 2018, The Next Platform

TigerGraph, a graph database born to roar
19 September 2017, ZDNet

provided by Google News

Job opportunities

WPF Sr. Engineer
LT Technology Services, Santa Clara, CA

Staff Data Scientist - Machine Learning
Walmart Global Tech, Bentonville, AR

Sr. Data Architect - Google Cloud Platform
Twitter, Atlanta, GA

Software Engineer - Backend
Braintrust, San Francisco, CA

Data Scientist
Stats Perform, Remote

Community Manager
StarTree, San Francisco, CA

Data Architect, Graph - Nationwide Opportunities
Amazon Web Services, Inc., Remote

Sr Data Architect, Graph - Nationwide Opportunities
Amazon Web Services, Inc., United States

MindManager Full Stack Developer
COREL CORPORATION USA, United States

Cloud Architect: SaaS Applications (MindManager)
COREL CORPORATION USA, United States

jobs by Indeed



Share this page

Featured Products

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Redis logo

The world’s most loved real‑time data platform.
Try free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here