Databases · head to head
DynamoDB vs Instaclustr

DynamoDB
Databases
AWS-only managed key-value and document database with fixed per-partition throughput limits and no ad hoc queries.
- From
- Free
- Rated
- -

Instaclustr
Databases
NetApp-owned managed service for Cassandra, Kafka, OpenSearch, PostgreSQL and Cadence with a bring-your-own-cloud model
- From
- On request
- Rated
- -
The short version
- Only DynamoDB has a free tier, so it costs nothing to try first.
- Each has a real cost: DynamoDB access patterns must be designed into the key schema before launch; a query nobody anticipated needs a new global secondary index, which is a full extra copy of the projected attributes billed as storage and as writes, or an offline migration.; Instaclustr pricing is only obtainable through a configurator or sales conversation, so comparing against AWS MSK or Confluent list prices requires several rounds of quotes rather than a spreadsheet.
- They diverge on capability: DynamoDB covers Managed and serverless, Instaclustr covers Unmodified open source.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which DynamoDB and Instaclustr actually diverge.
| Attribute | DynamoDB | Instaclustr |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | quote |
| Free tier | Yes | No |
| Platforms | AWS | Cloud, Linux |
| Founded | 2006 | Unknown |
Identical on both: user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in DynamoDB
- Managed and serverless
- Predictable latency
- On-demand or provisioned capacity
- Global secondary indexes
- Transactions
- DynamoDB Streams
- Global tables
- Point-in-time recovery
Only in Instaclustr
- Unmodified open source
- Bring your own cloud
- Multi technology platform
- 24/7 operations
- Managed backups
- Terraform provider
- SOC 2 and compliance
- Consulting and support
What people use each for
The jobs each tool is most often brought in to do.
DynamoDB
- High-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and knownnot Instaclustr
- Traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercisenot Instaclustr
- Serverless applications on Lambda, where an HTTP-based datastore avoids the connection pooling problem relational databases havenot Instaclustr
- Event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifiernot Instaclustr
Instaclustr
- An enterprise running Cassandra and Kafka that cannot hire and retain specialists for bothnot DynamoDB
- A company with cloud committed spend that wants managed data infrastructure to draw down that commitment through the bring-your-own-cloud modelnot DynamoDB
- A team that left Elastic over the licence change and wants OpenSearch operated by someone else without another proprietary forknot DynamoDB
- An organisation migrating off Amazon MSK or Keyspaces that wants the same open source software with vendor operations but portability intactnot DynamoDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DynamoDB
- Access patterns must be designed into the key schema before launch; a query nobody anticipated needs a new global secondary index, which is a full extra copy of the projected attributes billed as storage and as writes, or an offline migration.
- Global secondary indexes are eventually consistent and cannot be read strongly, so a read-after-write against an index can legitimately miss the item that was just written, and application code must be written to tolerate that.
- Per-partition throughput is capped at roughly 3,000 read and 1,000 write units, so a hot key throttles even when the table has spare capacity overall, and the only real fix is changing the key design to spread the load.
- Items are limited to 400 KB and query results paginate at 1 MB, so large or list-shaped data has to be split, offloaded to S3 with a pointer, or read through pagination loops that complicate every consumer.
- It runs only on AWS and the API is proprietary rather than a standard, so moving the data layer means rewriting it; ScyllaDB's Alternator is the only meaningfully compatible target and it brings a much smaller ecosystem.
Instaclustr
- Pricing is only obtainable through a configurator or sales conversation, so comparing against AWS MSK or Confluent list prices requires several rounds of quotes rather than a spreadsheet.
- It manages infrastructure, not data modelling, so a poor Cassandra partition key or a mis-sized Kafka topic still causes outages that the managed service will not prevent.
- NetApp ownership since 2022 has put the roadmap inside a large storage vendor, and the product is now one line in a portfolio rather than the whole company.
- The catalogue is broad but each technology is served at a general level, so teams needing deep, vendor-specific tuning often find a specialist provider goes further on their one technology.
- Bring your own cloud reduces lock-in but shifts networking, IAM and VPC peering complexity onto the customer, which needs cloud engineering capacity the managed service was meant to save.
Pricing, plan by plan
DynamoDB
Free- On-Demand Capacity$null/usage-based
- Pay-per-request pricing with automatic scaling
- Read: 0.5 RRU per 4 KB (eventually consistent), 1 RRU per 4 KB (strongly consistent), 2 RRU per 4 KB (transactional)
- Write: 1 WRU per 1 KB
- Provisioned Capacity$null/hourly
- Fixed hourly charges based on reserved capacity
- RCU rate: $0.00013 per hour (Standard)
- WCU rate: $0.00065 per hour (Standard)
- Standard Table Class Storage$0.25/per GB/month
- $0.25 per GB/month after free tier
- First 25 GB free per month (free tier)
- Standard-Infrequent Access Table Class$0.1/per GB/month
- $0.10 per GB/month
Instaclustr
On request- Instaclustr Managed Platform$undefined/month
- Priced per node size, technology, cloud provider and region
- Interactive calculator requires configuration before a figure appears
- Discounts on 12 month commitment
Which should you pick?
Choose DynamoDB if
- You need managed and serverless.
- You want to start without paying.
- You work on AWS.
- You also want predictable latency.
Choose Instaclustr if
- You need unmodified open source.
- You work on Cloud, Linux.
- You also want bring your own cloud.
Questions people ask
- Is DynamoDB or Instaclustr better?
- Neither clearly leads. DynamoDB starts at Free and Instaclustr at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DynamoDB or Instaclustr?
- DynamoDB has a free tier; the other does not. Paid plans start at Free for DynamoDB and On request for Instaclustr.
- Does DynamoDB or Instaclustr run on more platforms?
- DynamoDB runs on AWS. Instaclustr runs on Cloud, Linux.
- Can I use DynamoDB for free?
- Yes. DynamoDB has a free tier, so you can try it without paying. Instaclustr starts at On request.
- What is DynamoDB best used for?
- DynamoDB is most often used for high-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and known, traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercise, serverless applications on lambda, where an http-based datastore avoids the connection pooling problem relational databases have, event or telemetry ingestion where writes vastly outnumber reads and each record is retrieved by a known identifier. Of those, high-volume keyed workloads such as sessions, shopping carts, device state or user profiles where the access pattern is fixed and known and traffic that spikes unpredictably, where on-demand capacity absorbs a burst without a capacity-planning exercise are not what Instaclustr is typically brought in for.
- What can DynamoDB do that Instaclustr cannot?
- DynamoDB covers Managed and serverless, Predictable latency, On-demand or provisioned capacity, Global secondary indexes. Instaclustr covers Unmodified open source, Bring your own cloud, Multi technology platform, 24/7 operations.
Answered from the vendors’ own pages
DynamoDB: On-demand or provisioned capacity?
On-demand suits unpredictable or spiky traffic and removes capacity planning. Provisioned with autoscaling is considerably cheaper for steady high-volume workloads. Tables can be switched between them, though not arbitrarily often.
Instaclustr: Does Instaclustr modify the open source software?
No. Its stated commitment is one hundred per cent open source with no proprietary extensions, which is the main reason licence-averse buyers choose it.
DynamoDB: Can I run DynamoDB outside AWS?
No. DynamoDB Local exists for development and testing only. For a production-compatible alternative elsewhere, ScyllaDB's Alternator implements the DynamoDB API, but it is a different system with a different ecosystem.
Instaclustr: Who owns Instaclustr?
NetApp, which acquired the company in 2022. It is now branded NetApp Instaclustr.
DynamoDB: Can I run ad hoc queries or analytics?
Not on the table itself. Scans are slow and expensive at scale. The usual pattern is to export to S3 or stream changes out and query them in Athena, Redshift or another analytical engine.
Instaclustr: Is pricing published?
No. There is an interactive calculator, but figures depend on technology, node size, cloud and region, and commitments are negotiated.
DynamoDB: Is single-table design necessary?
It is the pattern that gets the most from DynamoDB when access patterns are well known, because it lets related items be retrieved in one query. It also makes the model harder to evolve, so many teams reasonably choose multiple simpler tables and accept extra requests.
Instaclustr: Can clusters run in my own cloud account?
Yes, through the bring-your-own-cloud model, so the infrastructure spend also counts toward your cloud commitment.
DynamoDB: What are the real limits I should design around?
400 KB per item, 1 MB per query or scan page, 100 items per transaction, roughly 3,000 read and 1,000 write units per partition, and eventual consistency on global secondary indexes.
Related pages
More on Instaclustr
Other head to heads
- DynamoDB vs Elasticsearch
- DynamoDB vs Cassandra
- DynamoDB vs Cockroach Labs
- DynamoDB vs Airtable
- DynamoDB vs PostgreSQL
- DynamoDB vs BigQuery
- DynamoDB vs FaunaDB
- DynamoDB vs Memcached
- DynamoDB vs ScyllaDB
- DynamoDB vs PlanetScale
- DynamoDB vs Couchbase
- DynamoDB vs CosmosDB
- DynamoDB vs DataStax
- DynamoDB vs dbt
- DynamoDB vs EMQX
- DynamoDB vs Firebase Realtime Database
- DynamoDB vs CouchDB
- DynamoDB vs Aiven
- DynamoDB vs Amazon Aurora
- DynamoDB vs TimescaleDB
- DynamoDB vs Redpanda
- DynamoDB vs RisingWave
- DynamoDB vs YugabyteDB
- DynamoDB vs Tinybird
- DynamoDB vs Google Cloud SQL
- DynamoDB vs DuckDB
- DynamoDB vs Immuta
- DynamoDB vs MariaDB
- DynamoDB vs Materialize
- DynamoDB vs Oracle Database
- Instaclustr vs Elasticsearch
- Instaclustr vs Cassandra
- Instaclustr vs Cockroach Labs
- Instaclustr vs Airtable
- Instaclustr vs PostgreSQL
- Instaclustr vs BigQuery
- Instaclustr vs FaunaDB
- Instaclustr vs Memcached
- Instaclustr vs ScyllaDB
- Instaclustr vs PlanetScale
- Instaclustr vs Couchbase
- Instaclustr vs CosmosDB
- Instaclustr vs DataStax
- Instaclustr vs dbt
- Instaclustr vs EMQX
- Instaclustr vs Firebase Realtime Database
- Instaclustr vs CouchDB
- Instaclustr vs Aiven
- Instaclustr vs Amazon Aurora
- Instaclustr vs TimescaleDB
- Instaclustr vs Redpanda
- Instaclustr vs RisingWave
- Instaclustr vs YugabyteDB
- Instaclustr vs Tinybird
- Instaclustr vs Google Cloud SQL
- Instaclustr vs DuckDB
- Instaclustr vs Immuta
- Instaclustr vs MariaDB
- Instaclustr vs Materialize
- Instaclustr vs Oracle Database
