Always-On, Linearly 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.
Linear Scalability
Double the nodes, double the throughput — scale out predictably on commodity hardware or cloud.
No Single Point of Failure
A masterless, peer-to-peer ring keeps you online even when nodes or whole data centres fail.
Tunable Consistency
Choose the exact consistency-vs-latency trade-off per query, from ONE to QUORUM to ALL.
Built for Scale & Uptime
The strengths that make Cassandra the choice for mission-critical, high-volume data.
Linear Scalability
Add nodes to add capacity and throughput with no downtime and no re-architecting.
Masterless Architecture
Every node is a peer — no master, no single point of failure, continuous availability.
Tunable Consistency
Dial consistency per operation to balance latency, availability and correctness.
Multi-DC Replication
Replicate across regions and data centres for low-latency global reads and disaster recovery.
High Write Throughput
A log-structured storage engine makes Cassandra exceptional at heavy, sustained write loads.
CQL Query Language
A familiar, SQL-like Cassandra Query Language keeps developers productive from day one.
End-to-End Cassandra Services
From cluster design and data modelling to fully managed operations.
Cluster Design & Modelling
Query-first data models, partition-key strategy and cluster topology built for your access patterns.
Time-Series & IoT
High-ingest pipelines for sensor, event and time-series data at massive scale.
Migration
Move from relational or other NoSQL stores to Cassandra - AI drafts the CQL schema and data-mapping scripts, developers review and validate them before a planned cut-over.
Performance Tuning
Compaction, caching and read/write path tuning to reduce latency and remove hotspots.
Multi-DC Setup
Geo-distributed clusters with cross-region replication for global low-latency access.
Managed Cassandra
Monitoring, backups, repairs and capacity planning for healthy, reliable clusters, scoped to the support level you agree.
Model the Queries, Not the Entities
Most Cassandra problems are data-model problems. Unlike a relational database, Cassandra has no joins and only limited ad-hoc filtering, so every table is designed around one query it must answer fast. We start from your access patterns, then design one table per query and accept deliberate denormalisation.
The partition key decides which nodes own the data, and the clustering columns decide the on-disk sort order inside each partition. Get those two right and reads become a single, predictable lookup. Get them wrong and no amount of hardware will save the cluster.
Avoiding hot and oversized partitions
A partition key with low cardinality, such as a single tenant or today's date, funnels traffic to a few nodes. We add time buckets or synthetic shard keys so writes spread evenly and partitions stay bounded in size.
Keeping tombstones under control
Deletes and expiring TTL data leave tombstones that slow reads until compaction removes them. We design queue-like and delete-heavy workloads carefully, choose the right compaction strategy (for example time-window compaction for time-series) and tune gc_grace_seconds alongside a regular repair schedule.
Consistency levels that match the risk
We pick a replication factor and read/write consistency levels per use case, typically LOCAL_QUORUM for multi-region apps, so you get the consistency each feature needs without paying cross-region latency on every request.
Cassandra vs PostgreSQL & MongoDB
We would rather talk you out of Cassandra than build the wrong system. An honest comparison:
Choose Cassandra when
Writes are heavy and continuous, the data set will outgrow a single machine, you need active-active replication across regions, and your query patterns are known up front: event logs, IoT telemetry, messaging, user activity feeds and fraud signals.
Choose PostgreSQL when
You need multi-row transactions, joins, flexible reporting queries and strict relational integrity, and the data fits comfortably on one primary with read replicas. For most business applications this is the simpler, cheaper choice.
Choose MongoDB when
Your data is document-shaped, the schema changes often and you want rich secondary indexes and ad-hoc queries, with moderate write volume. It trades some of Cassandra's write scalability for far more query flexibility.
Where Your Cluster Should Run
You can run open-source Cassandra yourself on VMs or Kubernetes, or use a Cassandra-compatible managed service such as Amazon Keyspaces, Azure Managed Instance for Apache Cassandra or DataStax Astra DB. Self-managed gives full control over versions, compaction and tuning; managed services remove patching, repairs and node replacement but can limit features and change the cost model.
We compare the options against your workload, compliance needs and team skills, then design the cluster, CQL schema, drivers and monitoring accordingly, including backups, repair automation and capacity alerts.
- Discovery and access-pattern workshop - we list every read and write path before a single table is created.
- Load testing before launch - realistic traffic against the proposed model exposes hot partitions and latency spikes early.
- Transparent, milestone-based pricing - an NDA is signed before kickoff, and you own all code and IP.
- Engineering since 2008 - send us your current setup and we reply within 24 hours.
Pixel-perfect software, delivered at AI speed
PixoBots stands for Pixel & Bots. Our Bots are dedicated developers who work with AI tools: AI takes the repetitive work, a developer reviews every line, and the result is pixel-perfect.
Pixel
Polished UI and clean, tested code - detail is part of the job, not an afterthought.
Bots
Dedicated developers who join your team and use AI for boilerplate, tests and documentation.
Savings
AI-assisted delivery can save more than 50% of development cost compared with traditional development.
Ready to Scale Out?
Let our engineers design an always-on Cassandra cluster for your highest-volume workloads — talk to us today.