HELLO ABOUT SERVICES 2035 massiveQueries CONTACT WHY

THIS IS YOU ? looking for more flexible ways to clean, store, reshape and retrieve massive (sensor) data for your application an agile development team experience performance bottlenecks from the application to the data layer such as application subscriptions to real time data changes or document validation using JSON schema interested in levelling logic with your current data storage architecture or need advice on minimising latency need your existing BI analytics tools to talk to MongoDB need PII compliancy for all your data at rest and in flight exploring non relational databases such as MongoDB for horizontal scaling and need advise and support solving issues with PASSION and total DEDICATION MASSIVEQUERIES HAS THE KNOW HOW AND EXPERTISE TO HELP YOU OUT WITH SELF MANAGED DOCUMENT STORES license # 492-746-001 license # 895-280-785

SERVICE & SUPPORT

WHICH YOU CAN RELY ON

deployment & operations

implementing MongoDB as a service within your organisation or integration with platforms for containerised workloads, such as Kubernetes

diagnostics

profiling

debugging, f.e. slow queries, network socket exceptions, spikes in number of connections

performance tuning

optimizing index and shard keys

optimizing storage engine and network parameters. f.e. intra-cluster compression

low-level benchmarking e.o.

security

setting up a public key infrastructure for authentication and authorization, f.e. X.509 certificates over TLS

securing data for PII compliance using encryption and redaction

connectivity

integrating LDAP for authentication and authorization

integrating SQL Business Intelligence tools

connecting to Hadoop and Spark tools

development

API development with NodeJS or Python

support with schema design and transition from SQL to noSQL

BENEFITS

Some reasons why you should consider MongoDB

Dynamic Data Structure

Works natural with iterative development cycles

Documents can include arrays

Related data may be stored in a single document without the need of normalization, avoiding inefficient joins and therefore resulting in much faster response times

Horizontal Scalability

You can easily scale up or down your system by adding or removing shards from your cluster

High Availability

Through the implementation of replication sets with each shard, you get automatic failover

Optimised distribution

You can distribute your cluster nodes not only geographically, but also tiered, according to application/client affinity or any other distribution which is optimal for your application.

Built for massive data retrieval and analytics

MongoDB provides an expressive query language and aggregation framework.
It has built-in tools for analytics, such as facets.

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massiveQueries endourses open source software and advocates for usage of solely open source tools such as the GNU Linux distributions. 2017-2035

massiveQueries is a trading name of MQ mobileQueries, registered at the AMS Chamber of Commerce 34135665