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

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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info<at>massivequeries.com

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