reorder Distributed Wide-Column Store

Apache Cassandra Development

Linearly scalable, fault-tolerant NoSQL databases with no single point of failure — built for massive write throughput, time-series and IoT workloads.

info What Is Cassandra?

Always-On, Infinitely Scalable

Apache Cassandra is a free, open-source, distributed wide-column NoSQL database built to handle enormous amounts of data across many commodity servers — with no single point of failure.

Its masterless, peer-to-peer design means every node is equal, giving you continuous availability and truly linear scalability: add nodes, add capacity. With tunable consistency and multi-datacenter replication, Cassandra powers globally-distributed, always-on applications.

trending_up

Linear Scalability

Double the nodes, double the throughput — scale out predictably on commodity hardware or cloud.

device_hub

No Single Point of Failure

A masterless, peer-to-peer ring keeps you online even when nodes or whole data centres fail.

tune

Tunable Consistency

Choose the exact consistency-vs-latency trade-off per query, from ONE to QUORUM to ALL.

auto_awesome Why Cassandra?

Built for Scale & Uptime

The strengths that make Cassandra the choice for mission-critical, high-volume data.

trending_up
trending_up

Linear Scalability

Add nodes to add capacity and throughput with no downtime and no re-architecting.

device_hub
device_hub

Masterless Architecture

Every node is a peer — no master, no single point of failure, continuous availability.

tune
tune

Tunable Consistency

Dial consistency per operation to balance latency, availability and correctness.

public
public

Multi-DC Replication

Replicate across regions and data centres for low-latency global reads and disaster recovery.

bolt
bolt

High Write Throughput

A log-structured storage engine makes Cassandra exceptional at heavy, sustained write loads.

code
code

CQL Query Language

A familiar, SQL-like Cassandra Query Language keeps developers productive from day one.

grid_view What We Offer

End-to-End Cassandra Services

From cluster design and data modelling to fully managed operations.

account_tree
account_tree

Cluster Design & Modelling

Query-first data models, partition-key strategy and cluster topology built for your access patterns.

timeline
timeline

Time-Series & IoT

High-ingest pipelines for sensor, event and time-series data at massive scale.

cloud_upload
cloud_upload

Migration

Move from relational or other NoSQL stores to Cassandra with zero-downtime strategies.

speed
speed

Performance Tuning

Compaction, caching and read/write path tuning to eliminate latency and hotspots.

public
public

Multi-DC Setup

Geo-distributed clusters with cross-region replication for global low-latency access.

build
build

Managed Cassandra

24/7 monitoring, backups, repairs and capacity planning for healthy, reliable clusters.

Ready to Scale Without Limits?

Let our engineers design an always-on Cassandra cluster for your highest-volume workloads — book a free consultation today.

Talk to Our Experts
help_outline FAQ

Frequently asked questions

What is Apache Cassandra good for? expand_more
Cassandra is a distributed, wide-column NoSQL database built for massive scale and high write throughput. PixoBots uses it for time-series, IoT, messaging and analytics workloads that need no single point of failure.
When should I choose Cassandra over a relational database? expand_more
Choose Cassandra when you need linear scalability, high write volume and always-on availability across regions. For complex joins and transactions, a relational database may fit better. We help you decide.
Is Cassandra highly available? expand_more
Yes. Its masterless, replicated architecture has no single point of failure; nodes can fail or be added without downtime, and data is replicated across the cluster and data centres.
Can Cassandra handle time-series and IoT data? expand_more
Yes. Its write-optimised, partitioned model is ideal for high-volume time-series and IoT streams, and we design data models and TTLs for efficient storage and fast queries.