Consistent, available, and cost-efficient at any scale
The Aerospike difference
The Aerospike difference
Aerospike’s patented Hybrid Memory Architecture delivers memory-like latency, with the durability and low cost of SSDs.
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LexisNexis leverages 1.3 petabytes of data to build the world’s largest identity network, with full access across the entire set.
LexisNexis leverages 1.3 petabytes of data to build the world’s largest identity network, with full access across the entire set.
Aerospike for AI
Leveraging hundreds of data points per inference improves accuracy, but brings P99 latency into play on every run. Bounded tail latency keeps models accurate at scale.
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Aerospike Cloud
A fully-managed, self-service platform for operating Aerospike Database in hyperscale clouds, securely peered to your VPC.
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Easily connect to Spark, Kafka, and more, with streaming ingestion and CDC connector options.
Start simple, then layer in powerful abstractions like collection data types and server-side functions that execute close to your data.
# Connect to Aerospike
client = aerospike.client(
{'hosts': AS_CLUSTER_IPS}
).connect()
# Save a Record
client.put(('user_data', 'user_profiles', MY_UUID), {
'username': 'jvonneumann',
'email': 'jvonneumann@ias.edu'
})
# Retrieve and print the Record
my_user = client.get(('user_data', 'user_profiles', MY_UUID))
print("Retrieved user:", my_user)
# TODO: write business plan... 🤔
profit()Get hands-on with Aerospike – start coding, deploying, and scaling in minutes with interactive learning.
Industries and use cases
Industries
Real time decisions help deliver stronger bidding, sharper targeting, and more relevant ads across every impression.
Specialist Use Cases
Compare Aerospike to other popular databases across diverse workloads.
Cost efficiency
Up to 9.5× lower cost per transaction with infrastructure savings near 80%.
Latency
20 - 40% lower P99 latency with 2× higher throughput across workloads.
With Aerospike, the majority of data can be kept in storage that costs one-tenth [of the cost of Redis]. We were able to cut our infrastructure costs by almost 85%, and we also needed to maintain it a lot less.
Before Aerospike, we were spending more and more of our time on the care and feeding of Cassandra, and less and less time building new product offerings. With Aerospike, we’ve cleared our roadmap to focus on new functionality for our customers.
As we evaluated and tested Aerospike, we realized it could replace both MongoDB and Memcached. What blew my mind was the performance. It was sub-millisecond from the start.
Total infrastructure cost dropped significantly when moving from Amazon DynamoDB. Internal modeling showed more than $10M in projected savings at similar scale and traffic.
Moving our real-time session use case to Aerospike [from ElasticSearch and Couchbase] gained us predictable and persistent performance with linear scalability and 10x better latency, while reducing hardware costs by 40%.
Our Aerospike-powered key-value storage system peaks at about 290 million queries per second.
